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oobabooga
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commit
5b91dbb73b
22 changed files with 105 additions and 432 deletions
10
README.md
10
README.md
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@ -11,7 +11,7 @@ Its goal is to become the [AUTOMATIC1111/stable-diffusion-webui](https://github.
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## Features
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* 3 interface modes: default (two columns), notebook, and chat.
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* Multiple model backends: [Transformers](https://github.com/huggingface/transformers), [llama.cpp](https://github.com/ggerganov/llama.cpp) (through [llama-cpp-python](https://github.com/abetlen/llama-cpp-python)), [ExLlamaV2](https://github.com/turboderp/exllamav2), [AutoGPTQ](https://github.com/PanQiWei/AutoGPTQ), [AutoAWQ](https://github.com/casper-hansen/AutoAWQ), [GPTQ-for-LLaMa](https://github.com/qwopqwop200/GPTQ-for-LLaMa), [CTransformers](https://github.com/marella/ctransformers), [QuIP#](https://github.com/Cornell-RelaxML/quip-sharp).
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* Multiple model backends: [Transformers](https://github.com/huggingface/transformers), [llama.cpp](https://github.com/ggerganov/llama.cpp) (through [llama-cpp-python](https://github.com/abetlen/llama-cpp-python)), [ExLlamaV2](https://github.com/turboderp/exllamav2), [AutoGPTQ](https://github.com/PanQiWei/AutoGPTQ), [AutoAWQ](https://github.com/casper-hansen/AutoAWQ), [GPTQ-for-LLaMa](https://github.com/qwopqwop200/GPTQ-for-LLaMa), [QuIP#](https://github.com/Cornell-RelaxML/quip-sharp).
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* Dropdown menu for quickly switching between different models.
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* Large number of extensions (built-in and user-contributed), including Coqui TTS for realistic voice outputs, Whisper STT for voice inputs, translation, [multimodal pipelines](https://github.com/oobabooga/text-generation-webui/tree/main/extensions/multimodal), vector databases, Stable Diffusion integration, and a lot more. See [the wiki](https://github.com/oobabooga/text-generation-webui/wiki/07-%E2%80%90-Extensions) and [the extensions directory](https://github.com/oobabooga/text-generation-webui-extensions) for details.
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* [Chat with custom characters](https://github.com/oobabooga/text-generation-webui/wiki/03-%E2%80%90-Parameters-Tab#character).
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@ -221,7 +221,7 @@ List of command-line flags
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| Flag | Description |
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|--------------------------------------------|-------------|
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| `--loader LOADER` | Choose the model loader manually, otherwise, it will get autodetected. Valid options: Transformers, llama.cpp, llamacpp_HF, ExLlamav2_HF, ExLlamav2, AutoGPTQ, AutoAWQ, GPTQ-for-LLaMa, ctransformers, QuIP#. |
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| `--loader LOADER` | Choose the model loader manually, otherwise, it will get autodetected. Valid options: Transformers, llama.cpp, llamacpp_HF, ExLlamav2_HF, ExLlamav2, AutoGPTQ, AutoAWQ, GPTQ-for-LLaMa, QuIP#. |
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#### Accelerate/transformers
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@ -308,12 +308,6 @@ List of command-line flags
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| `--checkpoint CHECKPOINT` | The path to the quantized checkpoint file. If not specified, it will be automatically detected. |
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| `--monkey-patch` | Apply the monkey patch for using LoRAs with quantized models. |
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#### ctransformers
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| Flag | Description |
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|-------------|-------------|
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| `--model_type MODEL_TYPE` | Model type of pre-quantized model. Currently gpt2, gptj, gptneox, falcon, llama, mpt, starcoder (gptbigcode), dollyv2, and replit are supported. |
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#### HQQ
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| Flag | Description |
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@ -1,73 +0,0 @@
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#parent #container {
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background-color: #eef2ff;
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padding: 17px;
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}
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#parent #container .reply {
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background-color: rgb(214 218 240);
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border-bottom: 1px solid rgb(183 197 217);
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border-image: none 100% 1 0 stretch;
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border-left: 0 none rgb(0 0 0);
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border-right: 1px solid rgb(183 197 217);
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color: rgb(0 0 0);
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display: table;
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font-family: arial, helvetica, sans-serif;
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font-size: 13.3333px;
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margin: 4px 0;
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overflow: hidden hidden;
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padding: 4px 2px;
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}
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#parent #container .number {
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color: rgb(0 0 0);
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font-family: arial, helvetica, sans-serif;
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font-size: 13.3333px;
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width: 342.65px;
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margin-right: 7px;
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}
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#parent #container .op {
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color: rgb(0 0 0);
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font-family: arial, helvetica, sans-serif;
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font-size: 13.3333px;
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margin: 4px 0 8px;
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overflow: hidden hidden;
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}
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#parent #container .op blockquote {
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margin-left: 0 !important;
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}
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#parent #container .name {
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color: rgb(17 119 67);
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font-family: arial, helvetica, sans-serif;
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font-size: 13.3333px;
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font-weight: 700;
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margin-left: 7px;
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}
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#parent #container .quote {
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color: rgb(221 0 0);
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font-family: arial, helvetica, sans-serif;
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font-size: 13.3333px;
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text-decoration: underline solid rgb(221 0 0);
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text-decoration-thickness: auto;
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}
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#parent #container .greentext {
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color: rgb(120 153 34);
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font-family: arial, helvetica, sans-serif;
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font-size: 13.3333px;
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}
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#parent #container blockquote {
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margin: 0 !important;
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margin-block: 1em 1em;
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margin-inline: 40px 40px;
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margin: 13.33px 40px !important;
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}
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#parent #container .message_4chan {
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color: black;
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border: none;
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}
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@ -105,12 +105,6 @@ It has an additional parameter:
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* **logits_all**: Needs to be checked if you want to evaluate the perplexity of the llama.cpp model using the "Training" > "Perplexity evaluation" tab. Otherwise, leave it unchecked, as it makes prompt processing slower.
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### ctransformers
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Loads: GGUF/GGML models.
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Similar to llama.cpp but it works for certain GGUF/GGML models not originally supported by llama.cpp like Falcon, StarCoder, StarChat, and GPT-J.
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### AutoAWQ
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Loads: AWQ models.
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@ -13,29 +13,6 @@ Source: https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/1126
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This file will be automatically detected the next time you start the web UI.
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## GPT-4chan
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[GPT-4chan](https://huggingface.co/ykilcher/gpt-4chan) has been shut down from Hugging Face, so you need to download it elsewhere. You have two options:
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* Torrent: [16-bit](https://archive.org/details/gpt4chan_model_float16) / [32-bit](https://archive.org/details/gpt4chan_model)
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* Direct download: [16-bit](https://theswissbay.ch/pdf/_notpdf_/gpt4chan_model_float16/) / [32-bit](https://theswissbay.ch/pdf/_notpdf_/gpt4chan_model/)
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The 32-bit version is only relevant if you intend to run the model in CPU mode. Otherwise, you should use the 16-bit version.
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After downloading the model, follow these steps:
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1. Place the files under `models/gpt4chan_model_float16` or `models/gpt4chan_model`.
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2. Place GPT-J 6B's config.json file in that same folder: [config.json](https://huggingface.co/EleutherAI/gpt-j-6B/raw/main/config.json).
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3. Download GPT-J 6B's tokenizer files (they will be automatically detected when you attempt to load GPT-4chan):
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```
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python download-model.py EleutherAI/gpt-j-6B --text-only
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```
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When you load this model in default or notebook modes, the "HTML" tab will show the generated text in 4chan format:
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## Using LoRAs with GPTQ-for-LLaMa
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This requires using a monkey patch that is supported by this web UI: https://github.com/johnsmith0031/alpaca_lora_4bit
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@ -10,7 +10,6 @@
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| AutoGPTQ | ✅ | ❌ | ❌ | ✅ | ✅ |
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| AutoAWQ | ? | ❌ | ? | ? | ✅ |
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| GPTQ-for-LLaMa | ✅\*\* | ✅\*\*\* | ✅ | ✅ | ✅ |
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| ctransformers | ❌ | ❌ | ❌ | ❌ | ❌ |
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| QuIP# | ? | ? | ? | ? | ✅ |
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| HQQ | ? | ? | ? | ? | ✅ |
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@ -1,79 +0,0 @@
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from ctransformers import AutoConfig, AutoModelForCausalLM
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from modules import shared
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from modules.callbacks import Iteratorize
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from modules.logging_colors import logger
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class CtransformersModel:
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def __init__(self):
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pass
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@classmethod
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def from_pretrained(cls, path):
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result = cls()
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config = AutoConfig.from_pretrained(
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str(path),
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threads=shared.args.threads if shared.args.threads != 0 else -1,
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gpu_layers=shared.args.n_gpu_layers,
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batch_size=shared.args.n_batch,
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context_length=shared.args.n_ctx,
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stream=True,
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mmap=not shared.args.no_mmap,
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mlock=shared.args.mlock
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)
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result.model = AutoModelForCausalLM.from_pretrained(
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str(result.model_dir(path) if result.model_type_is_auto() else path),
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model_type=(None if result.model_type_is_auto() else shared.args.model_type),
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config=config
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)
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logger.info(f'Using ctransformers model_type: {result.model.model_type} for {result.model.model_path}')
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return result, result
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def model_type_is_auto(self):
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return shared.args.model_type is None or shared.args.model_type == "Auto" or shared.args.model_type == "None"
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def model_dir(self, path):
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if path.is_file():
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return path.parent
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return path
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def encode(self, string, **kwargs):
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return self.model.tokenize(string)
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def decode(self, ids):
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return self.model.detokenize(ids)
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def generate(self, prompt, state, callback=None):
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prompt = prompt if type(prompt) is str else prompt.decode()
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# ctransformers uses -1 for random seed
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generator = self.model(
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prompt=prompt,
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max_new_tokens=state['max_new_tokens'],
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temperature=state['temperature'],
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top_p=state['top_p'],
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top_k=state['top_k'],
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repetition_penalty=state['repetition_penalty'],
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last_n_tokens=state['repetition_penalty_range'],
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seed=int(state['seed'])
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)
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output = ""
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for token in generator:
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if callback:
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callback(token)
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output += token
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return output
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def generate_with_streaming(self, *args, **kwargs):
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with Iteratorize(self.generate, args, kwargs, callback=None) as generator:
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reply = ''
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for token in generator:
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reply += token
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yield reply
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@ -16,8 +16,6 @@ image_cache = {}
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with open(Path(__file__).resolve().parent / '../css/html_readable_style.css', 'r') as f:
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readable_css = f.read()
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with open(Path(__file__).resolve().parent / '../css/html_4chan_style.css', 'r') as css_f:
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_4chan_css = css_f.read()
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with open(Path(__file__).resolve().parent / '../css/html_instruct_style.css', 'r') as f:
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instruct_css = f.read()
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@ -118,63 +116,6 @@ def generate_basic_html(string):
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return string
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def process_post(post, c):
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t = post.split('\n')
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number = t[0].split(' ')[1]
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if len(t) > 1:
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src = '\n'.join(t[1:])
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else:
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src = ''
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src = re.sub('>', '>', src)
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src = re.sub('(>>[0-9]*)', '<span class="quote">\\1</span>', src)
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src = re.sub('\n', '<br>\n', src)
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src = f'<blockquote class="message_4chan">{src}\n'
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src = f'<span class="name">Anonymous </span> <span class="number">No.{number}</span>\n{src}'
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return src
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def generate_4chan_html(f):
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posts = []
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post = ''
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c = -2
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for line in f.splitlines():
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line += "\n"
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if line == '-----\n':
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continue
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elif line.startswith('--- '):
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c += 1
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if post != '':
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src = process_post(post, c)
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posts.append(src)
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post = line
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else:
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post += line
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if post != '':
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src = process_post(post, c)
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posts.append(src)
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for i in range(len(posts)):
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if i == 0:
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posts[i] = f'<div class="op">{posts[i]}</div>\n'
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else:
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posts[i] = f'<div class="reply">{posts[i]}</div>\n'
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output = ''
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output += f'<style>{_4chan_css}</style><div id="parent"><div id="container">'
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for post in posts:
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output += post
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output += '</div></div>'
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output = output.split('\n')
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for i in range(len(output)):
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output[i] = re.sub(r'^(>(.*?)(<br>|</div>))', r'<span class="greentext">\1</span>', output[i])
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output[i] = re.sub(r'^<blockquote class="message_4chan">(>(.*?)(<br>|</div>))', r'<blockquote class="message_4chan"><span class="greentext">\1</span>', output[i])
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output = '\n'.join(output)
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return output
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def make_thumbnail(image):
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image = image.resize((350, round(image.size[1] / image.size[0] * 350)), Image.Resampling.LANCZOS)
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if image.size[1] > 470:
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@ -138,15 +138,6 @@ loaders_and_params = OrderedDict({
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'no_use_fast',
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'gptq_for_llama_info',
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],
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'ctransformers': [
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'n_ctx',
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'n_gpu_layers',
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'n_batch',
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'threads',
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'model_type',
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'no_mmap',
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'mlock'
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],
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'QuIP#': [
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'trust_remote_code',
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'no_use_fast',
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@ -332,13 +323,6 @@ loaders_samplers = {
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'skip_special_tokens',
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'auto_max_new_tokens',
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},
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'ctransformers': {
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'temperature',
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'top_p',
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'top_k',
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'repetition_penalty',
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'repetition_penalty_range',
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},
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}
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loaders_model_types = {
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@ -348,19 +332,6 @@ loaders_model_types = {
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"opt",
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"gptj"
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],
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'ctransformers': [
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"None",
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"gpt2",
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"gptj",
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"gptneox",
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"llama",
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"mpt",
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"dollyv2",
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"replit",
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"starcoder",
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"gptbigcode",
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"falcon"
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],
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}
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@ -67,7 +67,6 @@ def load_model(model_name, loader=None):
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'llamacpp_HF': llamacpp_HF_loader,
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'ExLlamav2': ExLlamav2_loader,
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'ExLlamav2_HF': ExLlamav2_HF_loader,
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'ctransformers': ctransformers_loader,
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'AutoAWQ': AutoAWQ_loader,
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'QuIP#': QuipSharp_loader,
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'HQQ': HQQ_loader,
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@ -97,7 +96,7 @@ def load_model(model_name, loader=None):
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shared.settings.update({k: v for k, v in metadata.items() if k in shared.settings})
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if loader.lower().startswith('exllama'):
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shared.settings['truncation_length'] = shared.args.max_seq_len
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elif loader in ['llama.cpp', 'llamacpp_HF', 'ctransformers']:
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elif loader in ['llama.cpp', 'llamacpp_HF']:
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shared.settings['truncation_length'] = shared.args.n_ctx
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logger.info(f"LOADER: \"{loader}\"")
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@ -110,9 +109,7 @@ def load_model(model_name, loader=None):
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def load_tokenizer(model_name, model):
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tokenizer = None
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path_to_model = Path(f"{shared.args.model_dir}/{model_name}/")
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if any(s in model_name.lower() for s in ['gpt-4chan', 'gpt4chan']) and Path(f"{shared.args.model_dir}/gpt-j-6B/").exists():
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tokenizer = AutoTokenizer.from_pretrained(Path(f"{shared.args.model_dir}/gpt-j-6B/"))
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elif path_to_model.exists():
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if path_to_model.exists():
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if shared.args.no_use_fast:
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logger.info('Loading the tokenizer with use_fast=False.')
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@ -148,17 +145,18 @@ def huggingface_loader(model_name):
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else:
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LoaderClass = AutoModelForCausalLM
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# Load the model in simple 16-bit mode by default
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# Load the model without any special settings
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if not any([shared.args.cpu, shared.args.load_in_8bit, shared.args.load_in_4bit, shared.args.auto_devices, shared.args.disk, shared.args.deepspeed, shared.args.gpu_memory is not None, shared.args.cpu_memory is not None, shared.args.compress_pos_emb > 1, shared.args.alpha_value > 1, shared.args.disable_exllama, shared.args.disable_exllamav2]):
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model = LoaderClass.from_pretrained(path_to_model, **params)
|
||||
if torch.backends.mps.is_available():
|
||||
device = torch.device('mps')
|
||||
model = model.to(device)
|
||||
elif is_xpu_available():
|
||||
device = torch.device("xpu")
|
||||
model = model.to(device)
|
||||
else:
|
||||
model = model.cuda()
|
||||
if not (hasattr(model, 'is_loaded_in_4bit') and model.is_loaded_in_4bit):
|
||||
if torch.backends.mps.is_available():
|
||||
device = torch.device('mps')
|
||||
model = model.to(device)
|
||||
elif is_xpu_available():
|
||||
device = torch.device("xpu")
|
||||
model = model.to(device)
|
||||
else:
|
||||
model = model.cuda()
|
||||
|
||||
# DeepSpeed ZeRO-3
|
||||
elif shared.args.deepspeed:
|
||||
|
|
@ -267,33 +265,6 @@ def llamacpp_HF_loader(model_name):
|
|||
return model
|
||||
|
||||
|
||||
def ctransformers_loader(model_name):
|
||||
from modules.ctransformers_model import CtransformersModel
|
||||
|
||||
path = Path(f'{shared.args.model_dir}/{model_name}')
|
||||
ctrans = CtransformersModel()
|
||||
if ctrans.model_type_is_auto():
|
||||
model_file = path
|
||||
else:
|
||||
if path.is_file():
|
||||
model_file = path
|
||||
else:
|
||||
entries = Path(f'{shared.args.model_dir}/{model_name}')
|
||||
gguf = list(entries.glob('*.gguf'))
|
||||
bin = list(entries.glob('*.bin'))
|
||||
if len(gguf) > 0:
|
||||
model_file = gguf[0]
|
||||
elif len(bin) > 0:
|
||||
model_file = bin[0]
|
||||
else:
|
||||
logger.error("Could not find a model for ctransformers.")
|
||||
return None, None
|
||||
|
||||
logger.info(f'ctransformers weights detected: \"{model_file}\"')
|
||||
model, tokenizer = ctrans.from_pretrained(model_file)
|
||||
return model, tokenizer
|
||||
|
||||
|
||||
def AutoAWQ_loader(model_name):
|
||||
from awq import AutoAWQForCausalLM
|
||||
|
||||
|
|
|
|||
|
|
@ -48,7 +48,7 @@ def get_model_metadata(model):
|
|||
model_settings['loader'] = loader
|
||||
|
||||
# GGUF metadata
|
||||
if model_settings['loader'] in ['llama.cpp', 'llamacpp_HF', 'ctransformers']:
|
||||
if model_settings['loader'] in ['llama.cpp', 'llamacpp_HF']:
|
||||
path = Path(f'{shared.args.model_dir}/{model}')
|
||||
if path.is_file():
|
||||
model_file = path
|
||||
|
|
@ -77,18 +77,22 @@ def get_model_metadata(model):
|
|||
# Transformers metadata
|
||||
if hf_metadata is not None:
|
||||
metadata = json.loads(open(path, 'r', encoding='utf-8').read())
|
||||
if 'max_position_embeddings' in metadata:
|
||||
model_settings['truncation_length'] = metadata['max_position_embeddings']
|
||||
model_settings['max_seq_len'] = metadata['max_position_embeddings']
|
||||
for k in ['max_position_embeddings', 'max_seq_len']:
|
||||
if k in metadata:
|
||||
model_settings['truncation_length'] = metadata[k]
|
||||
model_settings['max_seq_len'] = metadata[k]
|
||||
|
||||
if 'rope_theta' in metadata:
|
||||
model_settings['rope_freq_base'] = metadata['rope_theta']
|
||||
elif 'attn_config' in metadata and 'rope_theta' in metadata['attn_config']:
|
||||
model_settings['rope_freq_base'] = metadata['attn_config']['rope_theta']
|
||||
|
||||
if 'rope_scaling' in metadata and type(metadata['rope_scaling']) is dict and all(key in metadata['rope_scaling'] for key in ('type', 'factor')):
|
||||
if metadata['rope_scaling']['type'] == 'linear':
|
||||
model_settings['compress_pos_emb'] = metadata['rope_scaling']['factor']
|
||||
|
||||
if 'quantization_config' in metadata:
|
||||
# Read GPTQ metadata for old GPTQ loaders
|
||||
if 'quantization_config' in metadata and metadata['quantization_config'].get('quant_method', '') != 'exl2':
|
||||
if 'bits' in metadata['quantization_config']:
|
||||
model_settings['wbits'] = metadata['quantization_config']['bits']
|
||||
if 'group_size' in metadata['quantization_config']:
|
||||
|
|
@ -227,7 +231,7 @@ def apply_model_settings_to_state(model, state):
|
|||
loader = model_settings.pop('loader')
|
||||
|
||||
# If the user is using an alternative loader for the same model type, let them keep using it
|
||||
if not (loader == 'ExLlamav2_HF' and state['loader'] in ['GPTQ-for-LLaMa', 'ExLlamav2', 'AutoGPTQ']) and not (loader == 'llama.cpp' and state['loader'] in ['ctransformers']):
|
||||
if not (loader == 'ExLlamav2_HF' and state['loader'] in ['GPTQ-for-LLaMa', 'ExLlamav2', 'AutoGPTQ']):
|
||||
state['loader'] = loader
|
||||
|
||||
for k in model_settings:
|
||||
|
|
|
|||
|
|
@ -88,7 +88,7 @@ group.add_argument('--chat-buttons', action='store_true', help='Show buttons on
|
|||
|
||||
# Model loader
|
||||
group = parser.add_argument_group('Model loader')
|
||||
group.add_argument('--loader', type=str, help='Choose the model loader manually, otherwise, it will get autodetected. Valid options: Transformers, llama.cpp, llamacpp_HF, ExLlamav2_HF, ExLlamav2, AutoGPTQ, AutoAWQ, GPTQ-for-LLaMa, ctransformers, QuIP#.')
|
||||
group.add_argument('--loader', type=str, help='Choose the model loader manually, otherwise, it will get autodetected. Valid options: Transformers, llama.cpp, llamacpp_HF, ExLlamav2_HF, ExLlamav2, AutoGPTQ, AutoAWQ, GPTQ-for-LLaMa, QuIP#.')
|
||||
|
||||
# Transformers/Accelerate
|
||||
group = parser.add_argument_group('Transformers/Accelerate')
|
||||
|
|
@ -259,8 +259,6 @@ def fix_loader_name(name):
|
|||
return 'ExLlamav2'
|
||||
elif name in ['exllamav2-hf', 'exllamav2_hf', 'exllama-v2-hf', 'exllama_v2_hf', 'exllama-v2_hf', 'exllama2-hf', 'exllama2_hf', 'exllama-2-hf', 'exllama_2_hf', 'exllama-2_hf']:
|
||||
return 'ExLlamav2_HF'
|
||||
elif name in ['ctransformers', 'ctranforemrs', 'ctransformer']:
|
||||
return 'ctransformers'
|
||||
elif name in ['autoawq', 'awq', 'auto-awq']:
|
||||
return 'AutoAWQ'
|
||||
elif name in ['quip#', 'quip-sharp', 'quipsharp', 'quip_sharp']:
|
||||
|
|
|
|||
|
|
@ -22,7 +22,7 @@ from modules.callbacks import (
|
|||
from modules.extensions import apply_extensions
|
||||
from modules.grammar.grammar_utils import initialize_grammar
|
||||
from modules.grammar.logits_process import GrammarConstrainedLogitsProcessor
|
||||
from modules.html_generator import generate_4chan_html, generate_basic_html
|
||||
from modules.html_generator import generate_basic_html
|
||||
from modules.logging_colors import logger
|
||||
from modules.models import clear_torch_cache, local_rank
|
||||
|
||||
|
|
@ -46,7 +46,7 @@ def _generate_reply(question, state, stopping_strings=None, is_chat=False, escap
|
|||
yield ''
|
||||
return
|
||||
|
||||
if shared.model.__class__.__name__ in ['LlamaCppModel', 'Exllamav2Model', 'CtransformersModel']:
|
||||
if shared.model.__class__.__name__ in ['LlamaCppModel', 'Exllamav2Model']:
|
||||
generate_func = generate_reply_custom
|
||||
else:
|
||||
generate_func = generate_reply_HF
|
||||
|
|
@ -114,7 +114,7 @@ def encode(prompt, add_special_tokens=True, add_bos_token=True, truncation_lengt
|
|||
if shared.tokenizer is None:
|
||||
raise ValueError('No tokenizer is loaded')
|
||||
|
||||
if shared.model.__class__.__name__ in ['LlamaCppModel', 'CtransformersModel', 'Exllamav2Model']:
|
||||
if shared.model.__class__.__name__ in ['LlamaCppModel', 'Exllamav2Model']:
|
||||
input_ids = shared.tokenizer.encode(str(prompt))
|
||||
if shared.model.__class__.__name__ not in ['Exllamav2Model']:
|
||||
input_ids = np.array(input_ids).reshape(1, len(input_ids))
|
||||
|
|
@ -128,7 +128,7 @@ def encode(prompt, add_special_tokens=True, add_bos_token=True, truncation_lengt
|
|||
if truncation_length is not None:
|
||||
input_ids = input_ids[:, -truncation_length:]
|
||||
|
||||
if shared.model.__class__.__name__ in ['LlamaCppModel', 'Exllamav2Model', 'CtransformersModel'] or shared.args.cpu:
|
||||
if shared.model.__class__.__name__ in ['LlamaCppModel', 'Exllamav2Model'] or shared.args.cpu:
|
||||
return input_ids
|
||||
elif shared.args.deepspeed:
|
||||
return input_ids.to(device=local_rank)
|
||||
|
|
@ -186,23 +186,7 @@ def generate_reply_wrapper(question, state, stopping_strings=None):
|
|||
|
||||
|
||||
def formatted_outputs(reply, model_name):
|
||||
if any(s in model_name for s in ['gpt-4chan', 'gpt4chan']):
|
||||
reply = fix_gpt4chan(reply)
|
||||
return html.unescape(reply), generate_4chan_html(reply)
|
||||
else:
|
||||
return html.unescape(reply), generate_basic_html(reply)
|
||||
|
||||
|
||||
def fix_gpt4chan(s):
|
||||
"""
|
||||
Removes empty replies from gpt4chan outputs
|
||||
"""
|
||||
for i in range(10):
|
||||
s = re.sub("--- [0-9]*\n>>[0-9]*\n---", "---", s)
|
||||
s = re.sub("--- [0-9]*\n *\n---", "---", s)
|
||||
s = re.sub("--- [0-9]*\n\n\n---", "---", s)
|
||||
|
||||
return s
|
||||
return html.unescape(reply), generate_basic_html(reply)
|
||||
|
||||
|
||||
def fix_galactica(s):
|
||||
|
|
|
|||
|
|
@ -330,7 +330,7 @@ def update_truncation_length(current_length, state):
|
|||
if 'loader' in state:
|
||||
if state['loader'].lower().startswith('exllama'):
|
||||
return state['max_seq_len']
|
||||
elif state['loader'] in ['llama.cpp', 'llamacpp_HF', 'ctransformers']:
|
||||
elif state['loader'] in ['llama.cpp', 'llamacpp_HF']:
|
||||
return state['n_ctx']
|
||||
|
||||
return current_length
|
||||
|
|
|
|||
|
|
@ -1,6 +0,0 @@
|
|||
-----
|
||||
--- 865467536
|
||||
Hello, AI frens!
|
||||
How are you doing on this fine day?
|
||||
--- 865467537
|
||||
|
||||
|
|
@ -33,33 +33,33 @@ sse-starlette==1.6.5
|
|||
tiktoken
|
||||
|
||||
# llama-cpp-python (CPU only, AVX2)
|
||||
https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/cpu/llama_cpp_python-0.2.56+cpuavx2-cp311-cp311-manylinux_2_31_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.11"
|
||||
https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/cpu/llama_cpp_python-0.2.56+cpuavx2-cp310-cp310-manylinux_2_31_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.10"
|
||||
https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/cpu/llama_cpp_python-0.2.56+cpuavx2-cp311-cp311-win_amd64.whl; platform_system == "Windows" and python_version == "3.11"
|
||||
https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/cpu/llama_cpp_python-0.2.56+cpuavx2-cp310-cp310-win_amd64.whl; platform_system == "Windows" and python_version == "3.10"
|
||||
https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/cpu/llama_cpp_python-0.2.59+cpuavx2-cp311-cp311-manylinux_2_31_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.11"
|
||||
https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/cpu/llama_cpp_python-0.2.59+cpuavx2-cp310-cp310-manylinux_2_31_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.10"
|
||||
https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/cpu/llama_cpp_python-0.2.59+cpuavx2-cp311-cp311-win_amd64.whl; platform_system == "Windows" and python_version == "3.11"
|
||||
https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/cpu/llama_cpp_python-0.2.59+cpuavx2-cp310-cp310-win_amd64.whl; platform_system == "Windows" and python_version == "3.10"
|
||||
|
||||
# llama-cpp-python (CUDA, no tensor cores)
|
||||
https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/textgen-webui/llama_cpp_python_cuda-0.2.56+cu121-cp311-cp311-win_amd64.whl; platform_system == "Windows" and python_version == "3.11"
|
||||
https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/textgen-webui/llama_cpp_python_cuda-0.2.56+cu121-cp310-cp310-win_amd64.whl; platform_system == "Windows" and python_version == "3.10"
|
||||
https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/textgen-webui/llama_cpp_python_cuda-0.2.56+cu121-cp311-cp311-manylinux_2_31_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.11"
|
||||
https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/textgen-webui/llama_cpp_python_cuda-0.2.56+cu121-cp310-cp310-manylinux_2_31_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.10"
|
||||
https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/textgen-webui/llama_cpp_python_cuda-0.2.59+cu121-cp311-cp311-win_amd64.whl; platform_system == "Windows" and python_version == "3.11"
|
||||
https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/textgen-webui/llama_cpp_python_cuda-0.2.59+cu121-cp310-cp310-win_amd64.whl; platform_system == "Windows" and python_version == "3.10"
|
||||
https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/textgen-webui/llama_cpp_python_cuda-0.2.59+cu121-cp311-cp311-manylinux_2_31_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.11"
|
||||
https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/textgen-webui/llama_cpp_python_cuda-0.2.59+cu121-cp310-cp310-manylinux_2_31_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.10"
|
||||
|
||||
# llama-cpp-python (CUDA, tensor cores)
|
||||
https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/textgen-webui/llama_cpp_python_cuda_tensorcores-0.2.56+cu121-cp311-cp311-win_amd64.whl; platform_system == "Windows" and python_version == "3.11"
|
||||
https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/textgen-webui/llama_cpp_python_cuda_tensorcores-0.2.56+cu121-cp310-cp310-win_amd64.whl; platform_system == "Windows" and python_version == "3.10"
|
||||
https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/textgen-webui/llama_cpp_python_cuda_tensorcores-0.2.56+cu121-cp311-cp311-manylinux_2_31_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.11"
|
||||
https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/textgen-webui/llama_cpp_python_cuda_tensorcores-0.2.56+cu121-cp310-cp310-manylinux_2_31_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.10"
|
||||
https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/textgen-webui/llama_cpp_python_cuda_tensorcores-0.2.59+cu121-cp311-cp311-win_amd64.whl; platform_system == "Windows" and python_version == "3.11"
|
||||
https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/textgen-webui/llama_cpp_python_cuda_tensorcores-0.2.59+cu121-cp310-cp310-win_amd64.whl; platform_system == "Windows" and python_version == "3.10"
|
||||
https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/textgen-webui/llama_cpp_python_cuda_tensorcores-0.2.59+cu121-cp311-cp311-manylinux_2_31_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.11"
|
||||
https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/textgen-webui/llama_cpp_python_cuda_tensorcores-0.2.59+cu121-cp310-cp310-manylinux_2_31_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.10"
|
||||
|
||||
# CUDA wheels
|
||||
https://github.com/jllllll/AutoGPTQ/releases/download/v0.6.0/auto_gptq-0.6.0+cu121-cp311-cp311-win_amd64.whl; platform_system == "Windows" and python_version == "3.11"
|
||||
https://github.com/jllllll/AutoGPTQ/releases/download/v0.6.0/auto_gptq-0.6.0+cu121-cp310-cp310-win_amd64.whl; platform_system == "Windows" and python_version == "3.10"
|
||||
https://github.com/jllllll/AutoGPTQ/releases/download/v0.6.0/auto_gptq-0.6.0+cu121-cp311-cp311-linux_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.11"
|
||||
https://github.com/jllllll/AutoGPTQ/releases/download/v0.6.0/auto_gptq-0.6.0+cu121-cp310-cp310-linux_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.10"
|
||||
https://github.com/oobabooga/exllamav2/releases/download/v0.0.15/exllamav2-0.0.15+cu121-cp311-cp311-win_amd64.whl; platform_system == "Windows" and python_version == "3.11"
|
||||
https://github.com/oobabooga/exllamav2/releases/download/v0.0.15/exllamav2-0.0.15+cu121-cp310-cp310-win_amd64.whl; platform_system == "Windows" and python_version == "3.10"
|
||||
https://github.com/oobabooga/exllamav2/releases/download/v0.0.15/exllamav2-0.0.15+cu121-cp311-cp311-linux_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.11"
|
||||
https://github.com/oobabooga/exllamav2/releases/download/v0.0.15/exllamav2-0.0.15+cu121-cp310-cp310-linux_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.10"
|
||||
https://github.com/oobabooga/exllamav2/releases/download/v0.0.15/exllamav2-0.0.15-py3-none-any.whl; platform_system == "Linux" and platform_machine != "x86_64"
|
||||
https://github.com/turboderp/exllamav2/releases/download/v0.0.17/exllamav2-0.0.17+cu121-cp311-cp311-win_amd64.whl; platform_system == "Windows" and python_version == "3.11"
|
||||
https://github.com/turboderp/exllamav2/releases/download/v0.0.17/exllamav2-0.0.17+cu121-cp310-cp310-win_amd64.whl; platform_system == "Windows" and python_version == "3.10"
|
||||
https://github.com/turboderp/exllamav2/releases/download/v0.0.17/exllamav2-0.0.17+cu121-cp311-cp311-linux_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.11"
|
||||
https://github.com/turboderp/exllamav2/releases/download/v0.0.17/exllamav2-0.0.17+cu121-cp310-cp310-linux_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.10"
|
||||
https://github.com/turboderp/exllamav2/releases/download/v0.0.17/exllamav2-0.0.17-py3-none-any.whl; platform_system == "Linux" and platform_machine != "x86_64"
|
||||
https://github.com/oobabooga/flash-attention/releases/download/v2.5.6/flash_attn-2.5.6+cu122torch2.2.0cxx11abiFALSE-cp311-cp311-win_amd64.whl; platform_system == "Windows" and python_version == "3.11"
|
||||
https://github.com/oobabooga/flash-attention/releases/download/v2.5.6/flash_attn-2.5.6+cu122torch2.2.0cxx11abiFALSE-cp310-cp310-win_amd64.whl; platform_system == "Windows" and python_version == "3.10"
|
||||
https://github.com/Dao-AILab/flash-attention/releases/download/v2.5.6/flash_attn-2.5.6+cu122torch2.2cxx11abiFALSE-cp311-cp311-linux_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.11"
|
||||
|
|
@ -68,5 +68,4 @@ https://github.com/jllllll/GPTQ-for-LLaMa-CUDA/releases/download/0.1.1/gptq_for_
|
|||
https://github.com/jllllll/GPTQ-for-LLaMa-CUDA/releases/download/0.1.1/gptq_for_llama-0.1.1+cu121-cp310-cp310-win_amd64.whl; platform_system == "Windows" and python_version == "3.10"
|
||||
https://github.com/jllllll/GPTQ-for-LLaMa-CUDA/releases/download/0.1.1/gptq_for_llama-0.1.1+cu121-cp311-cp311-linux_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.11"
|
||||
https://github.com/jllllll/GPTQ-for-LLaMa-CUDA/releases/download/0.1.1/gptq_for_llama-0.1.1+cu121-cp310-cp310-linux_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.10"
|
||||
https://github.com/jllllll/ctransformers-cuBLAS-wheels/releases/download/AVX2/ctransformers-0.2.27+cu121-py3-none-any.whl
|
||||
autoawq==0.2.3; platform_system == "Linux" or platform_system == "Windows"
|
||||
|
|
|
|||
|
|
@ -31,19 +31,19 @@ sse-starlette==1.6.5
|
|||
tiktoken
|
||||
|
||||
# llama-cpp-python (CPU only, AVX2)
|
||||
https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/cpu/llama_cpp_python-0.2.56+cpuavx2-cp311-cp311-manylinux_2_31_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.11"
|
||||
https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/cpu/llama_cpp_python-0.2.56+cpuavx2-cp310-cp310-manylinux_2_31_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.10"
|
||||
https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/cpu/llama_cpp_python-0.2.56+cpuavx2-cp311-cp311-win_amd64.whl; platform_system == "Windows" and python_version == "3.11"
|
||||
https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/cpu/llama_cpp_python-0.2.56+cpuavx2-cp310-cp310-win_amd64.whl; platform_system == "Windows" and python_version == "3.10"
|
||||
https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/cpu/llama_cpp_python-0.2.59+cpuavx2-cp311-cp311-manylinux_2_31_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.11"
|
||||
https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/cpu/llama_cpp_python-0.2.59+cpuavx2-cp310-cp310-manylinux_2_31_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.10"
|
||||
https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/cpu/llama_cpp_python-0.2.59+cpuavx2-cp311-cp311-win_amd64.whl; platform_system == "Windows" and python_version == "3.11"
|
||||
https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/cpu/llama_cpp_python-0.2.59+cpuavx2-cp310-cp310-win_amd64.whl; platform_system == "Windows" and python_version == "3.10"
|
||||
|
||||
# AMD wheels
|
||||
https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/rocm/llama_cpp_python_cuda-0.2.56+rocm5.6.1-cp311-cp311-manylinux_2_31_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.11"
|
||||
https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/rocm/llama_cpp_python_cuda-0.2.56+rocm5.6.1-cp310-cp310-manylinux_2_31_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.10"
|
||||
https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/rocm/llama_cpp_python_cuda-0.2.59+rocm5.6.1-cp311-cp311-manylinux_2_31_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.11"
|
||||
https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/rocm/llama_cpp_python_cuda-0.2.59+rocm5.6.1-cp310-cp310-manylinux_2_31_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.10"
|
||||
https://github.com/jllllll/AutoGPTQ/releases/download/v0.6.0/auto_gptq-0.6.0+rocm5.6-cp311-cp311-linux_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.11"
|
||||
https://github.com/jllllll/AutoGPTQ/releases/download/v0.6.0/auto_gptq-0.6.0+rocm5.6-cp310-cp310-linux_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.10"
|
||||
https://github.com/oobabooga/exllamav2/releases/download/v0.0.15/exllamav2-0.0.15+rocm5.6-cp311-cp311-linux_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.11"
|
||||
https://github.com/oobabooga/exllamav2/releases/download/v0.0.15/exllamav2-0.0.15+rocm5.6-cp310-cp310-linux_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.10"
|
||||
https://github.com/oobabooga/exllamav2/releases/download/v0.0.15/exllamav2-0.0.15-py3-none-any.whl; platform_system != "Darwin" and platform_machine != "x86_64"
|
||||
https://github.com/turboderp/exllamav2/releases/download/v0.0.17/exllamav2-0.0.17+rocm5.6-cp311-cp311-linux_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.11"
|
||||
https://github.com/turboderp/exllamav2/releases/download/v0.0.17/exllamav2-0.0.17+rocm5.6-cp310-cp310-linux_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.10"
|
||||
https://github.com/turboderp/exllamav2/releases/download/v0.0.17/exllamav2-0.0.17-py3-none-any.whl; platform_system != "Darwin" and platform_machine != "x86_64"
|
||||
https://github.com/jllllll/GPTQ-for-LLaMa-CUDA/releases/download/0.1.1/gptq_for_llama-0.1.1+rocm5.6-cp311-cp311-linux_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.11"
|
||||
https://github.com/jllllll/GPTQ-for-LLaMa-CUDA/releases/download/0.1.1/gptq_for_llama-0.1.1+rocm5.6-cp310-cp310-linux_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.10"
|
||||
https://github.com/casper-hansen/AutoAWQ/releases/download/v0.2.3/autoawq-0.2.3+rocm561-cp311-cp311-linux_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.11"
|
||||
|
|
|
|||
|
|
@ -31,17 +31,17 @@ sse-starlette==1.6.5
|
|||
tiktoken
|
||||
|
||||
# llama-cpp-python (CPU only, no AVX2)
|
||||
https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/cpu/llama_cpp_python-0.2.56+cpuavx-cp311-cp311-manylinux_2_31_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.11"
|
||||
https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/cpu/llama_cpp_python-0.2.56+cpuavx-cp310-cp310-manylinux_2_31_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.10"
|
||||
https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/cpu/llama_cpp_python-0.2.56+cpuavx-cp311-cp311-win_amd64.whl; platform_system == "Windows" and python_version == "3.11"
|
||||
https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/cpu/llama_cpp_python-0.2.56+cpuavx-cp310-cp310-win_amd64.whl; platform_system == "Windows" and python_version == "3.10"
|
||||
https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/cpu/llama_cpp_python-0.2.59+cpuavx-cp311-cp311-manylinux_2_31_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.11"
|
||||
https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/cpu/llama_cpp_python-0.2.59+cpuavx-cp310-cp310-manylinux_2_31_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.10"
|
||||
https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/cpu/llama_cpp_python-0.2.59+cpuavx-cp311-cp311-win_amd64.whl; platform_system == "Windows" and python_version == "3.11"
|
||||
https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/cpu/llama_cpp_python-0.2.59+cpuavx-cp310-cp310-win_amd64.whl; platform_system == "Windows" and python_version == "3.10"
|
||||
|
||||
# AMD wheels
|
||||
https://github.com/jllllll/AutoGPTQ/releases/download/v0.6.0/auto_gptq-0.6.0+rocm5.6-cp311-cp311-linux_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.11"
|
||||
https://github.com/jllllll/AutoGPTQ/releases/download/v0.6.0/auto_gptq-0.6.0+rocm5.6-cp310-cp310-linux_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.10"
|
||||
https://github.com/oobabooga/exllamav2/releases/download/v0.0.15/exllamav2-0.0.15+rocm5.6-cp311-cp311-linux_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.11"
|
||||
https://github.com/oobabooga/exllamav2/releases/download/v0.0.15/exllamav2-0.0.15+rocm5.6-cp310-cp310-linux_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.10"
|
||||
https://github.com/oobabooga/exllamav2/releases/download/v0.0.15/exllamav2-0.0.15-py3-none-any.whl; platform_system != "Darwin" and platform_machine != "x86_64"
|
||||
https://github.com/turboderp/exllamav2/releases/download/v0.0.17/exllamav2-0.0.17+rocm5.6-cp311-cp311-linux_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.11"
|
||||
https://github.com/turboderp/exllamav2/releases/download/v0.0.17/exllamav2-0.0.17+rocm5.6-cp310-cp310-linux_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.10"
|
||||
https://github.com/turboderp/exllamav2/releases/download/v0.0.17/exllamav2-0.0.17-py3-none-any.whl; platform_system != "Darwin" and platform_machine != "x86_64"
|
||||
https://github.com/jllllll/GPTQ-for-LLaMa-CUDA/releases/download/0.1.1/gptq_for_llama-0.1.1+rocm5.6-cp311-cp311-linux_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.11"
|
||||
https://github.com/jllllll/GPTQ-for-LLaMa-CUDA/releases/download/0.1.1/gptq_for_llama-0.1.1+rocm5.6-cp310-cp310-linux_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.10"
|
||||
https://github.com/casper-hansen/AutoAWQ/releases/download/v0.2.3/autoawq-0.2.3+rocm561-cp311-cp311-linux_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.11"
|
||||
|
|
|
|||
|
|
@ -31,10 +31,10 @@ sse-starlette==1.6.5
|
|||
tiktoken
|
||||
|
||||
# Mac wheels
|
||||
https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/metal/llama_cpp_python-0.2.56-cp311-cp311-macosx_11_0_x86_64.whl; platform_system == "Darwin" and platform_release >= "20.0.0" and platform_release < "21.0.0" and python_version == "3.11"
|
||||
https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/metal/llama_cpp_python-0.2.56-cp310-cp310-macosx_11_0_x86_64.whl; platform_system == "Darwin" and platform_release >= "20.0.0" and platform_release < "21.0.0" and python_version == "3.10"
|
||||
https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/metal/llama_cpp_python-0.2.56-cp311-cp311-macosx_12_0_x86_64.whl; platform_system == "Darwin" and platform_release >= "21.0.0" and platform_release < "22.0.0" and python_version == "3.11"
|
||||
https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/metal/llama_cpp_python-0.2.56-cp310-cp310-macosx_12_0_x86_64.whl; platform_system == "Darwin" and platform_release >= "21.0.0" and platform_release < "22.0.0" and python_version == "3.10"
|
||||
https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/metal/llama_cpp_python-0.2.56-cp311-cp311-macosx_14_0_x86_64.whl; platform_system == "Darwin" and platform_release >= "23.0.0" and platform_release < "24.0.0" and python_version == "3.11"
|
||||
https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/metal/llama_cpp_python-0.2.56-cp310-cp310-macosx_14_0_x86_64.whl; platform_system == "Darwin" and platform_release >= "23.0.0" and platform_release < "24.0.0" and python_version == "3.10"
|
||||
https://github.com/oobabooga/exllamav2/releases/download/v0.0.14/exllamav2-0.0.14-py3-none-any.whl
|
||||
https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/metal/llama_cpp_python-0.2.59-cp311-cp311-macosx_11_0_x86_64.whl; platform_system == "Darwin" and platform_release >= "20.0.0" and platform_release < "21.0.0" and python_version == "3.11"
|
||||
https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/metal/llama_cpp_python-0.2.59-cp310-cp310-macosx_11_0_x86_64.whl; platform_system == "Darwin" and platform_release >= "20.0.0" and platform_release < "21.0.0" and python_version == "3.10"
|
||||
https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/metal/llama_cpp_python-0.2.59-cp311-cp311-macosx_12_0_x86_64.whl; platform_system == "Darwin" and platform_release >= "21.0.0" and platform_release < "22.0.0" and python_version == "3.11"
|
||||
https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/metal/llama_cpp_python-0.2.59-cp310-cp310-macosx_12_0_x86_64.whl; platform_system == "Darwin" and platform_release >= "21.0.0" and platform_release < "22.0.0" and python_version == "3.10"
|
||||
https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/metal/llama_cpp_python-0.2.59-cp311-cp311-macosx_14_0_x86_64.whl; platform_system == "Darwin" and platform_release >= "23.0.0" and platform_release < "24.0.0" and python_version == "3.11"
|
||||
https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/metal/llama_cpp_python-0.2.59-cp310-cp310-macosx_14_0_x86_64.whl; platform_system == "Darwin" and platform_release >= "23.0.0" and platform_release < "24.0.0" and python_version == "3.10"
|
||||
https://github.com/turboderp/exllamav2/releases/download/v0.0.17/exllamav2-0.0.17-py3-none-any.whl
|
||||
|
|
|
|||
|
|
@ -31,12 +31,12 @@ sse-starlette==1.6.5
|
|||
tiktoken
|
||||
|
||||
# Mac wheels
|
||||
https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/metal/llama_cpp_python-0.2.56-cp311-cp311-macosx_11_0_arm64.whl; platform_system == "Darwin" and platform_release >= "20.0.0" and platform_release < "21.0.0" and python_version == "3.11"
|
||||
https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/metal/llama_cpp_python-0.2.56-cp310-cp310-macosx_11_0_arm64.whl; platform_system == "Darwin" and platform_release >= "20.0.0" and platform_release < "21.0.0" and python_version == "3.10"
|
||||
https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/metal/llama_cpp_python-0.2.56-cp311-cp311-macosx_12_0_arm64.whl; platform_system == "Darwin" and platform_release >= "21.0.0" and platform_release < "22.0.0" and python_version == "3.11"
|
||||
https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/metal/llama_cpp_python-0.2.56-cp310-cp310-macosx_12_0_arm64.whl; platform_system == "Darwin" and platform_release >= "21.0.0" and platform_release < "22.0.0" and python_version == "3.10"
|
||||
https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/metal/llama_cpp_python-0.2.56-cp311-cp311-macosx_13_0_arm64.whl; platform_system == "Darwin" and platform_release >= "22.0.0" and platform_release < "23.0.0" and python_version == "3.11"
|
||||
https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/metal/llama_cpp_python-0.2.56-cp310-cp310-macosx_13_0_arm64.whl; platform_system == "Darwin" and platform_release >= "22.0.0" and platform_release < "23.0.0" and python_version == "3.10"
|
||||
https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/metal/llama_cpp_python-0.2.56-cp311-cp311-macosx_14_0_arm64.whl; platform_system == "Darwin" and platform_release >= "23.0.0" and platform_release < "24.0.0" and python_version == "3.11"
|
||||
https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/metal/llama_cpp_python-0.2.56-cp310-cp310-macosx_14_0_arm64.whl; platform_system == "Darwin" and platform_release >= "23.0.0" and platform_release < "24.0.0" and python_version == "3.10"
|
||||
https://github.com/oobabooga/exllamav2/releases/download/v0.0.14/exllamav2-0.0.14-py3-none-any.whl
|
||||
https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/metal/llama_cpp_python-0.2.59-cp311-cp311-macosx_11_0_arm64.whl; platform_system == "Darwin" and platform_release >= "20.0.0" and platform_release < "21.0.0" and python_version == "3.11"
|
||||
https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/metal/llama_cpp_python-0.2.59-cp310-cp310-macosx_11_0_arm64.whl; platform_system == "Darwin" and platform_release >= "20.0.0" and platform_release < "21.0.0" and python_version == "3.10"
|
||||
https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/metal/llama_cpp_python-0.2.59-cp311-cp311-macosx_12_0_arm64.whl; platform_system == "Darwin" and platform_release >= "21.0.0" and platform_release < "22.0.0" and python_version == "3.11"
|
||||
https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/metal/llama_cpp_python-0.2.59-cp310-cp310-macosx_12_0_arm64.whl; platform_system == "Darwin" and platform_release >= "21.0.0" and platform_release < "22.0.0" and python_version == "3.10"
|
||||
https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/metal/llama_cpp_python-0.2.59-cp311-cp311-macosx_13_0_arm64.whl; platform_system == "Darwin" and platform_release >= "22.0.0" and platform_release < "23.0.0" and python_version == "3.11"
|
||||
https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/metal/llama_cpp_python-0.2.59-cp310-cp310-macosx_13_0_arm64.whl; platform_system == "Darwin" and platform_release >= "22.0.0" and platform_release < "23.0.0" and python_version == "3.10"
|
||||
https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/metal/llama_cpp_python-0.2.59-cp311-cp311-macosx_14_0_arm64.whl; platform_system == "Darwin" and platform_release >= "23.0.0" and platform_release < "24.0.0" and python_version == "3.11"
|
||||
https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/metal/llama_cpp_python-0.2.59-cp310-cp310-macosx_14_0_arm64.whl; platform_system == "Darwin" and platform_release >= "23.0.0" and platform_release < "24.0.0" and python_version == "3.10"
|
||||
https://github.com/turboderp/exllamav2/releases/download/v0.0.17/exllamav2-0.0.17-py3-none-any.whl
|
||||
|
|
|
|||
|
|
@ -31,7 +31,7 @@ sse-starlette==1.6.5
|
|||
tiktoken
|
||||
|
||||
# llama-cpp-python (CPU only, AVX2)
|
||||
https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/cpu/llama_cpp_python-0.2.56+cpuavx2-cp311-cp311-manylinux_2_31_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.11"
|
||||
https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/cpu/llama_cpp_python-0.2.56+cpuavx2-cp310-cp310-manylinux_2_31_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.10"
|
||||
https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/cpu/llama_cpp_python-0.2.56+cpuavx2-cp311-cp311-win_amd64.whl; platform_system == "Windows" and python_version == "3.11"
|
||||
https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/cpu/llama_cpp_python-0.2.56+cpuavx2-cp310-cp310-win_amd64.whl; platform_system == "Windows" and python_version == "3.10"
|
||||
https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/cpu/llama_cpp_python-0.2.59+cpuavx2-cp311-cp311-manylinux_2_31_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.11"
|
||||
https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/cpu/llama_cpp_python-0.2.59+cpuavx2-cp310-cp310-manylinux_2_31_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.10"
|
||||
https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/cpu/llama_cpp_python-0.2.59+cpuavx2-cp311-cp311-win_amd64.whl; platform_system == "Windows" and python_version == "3.11"
|
||||
https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/cpu/llama_cpp_python-0.2.59+cpuavx2-cp310-cp310-win_amd64.whl; platform_system == "Windows" and python_version == "3.10"
|
||||
|
|
|
|||
|
|
@ -31,7 +31,7 @@ sse-starlette==1.6.5
|
|||
tiktoken
|
||||
|
||||
# llama-cpp-python (CPU only, no AVX2)
|
||||
https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/cpu/llama_cpp_python-0.2.56+cpuavx-cp311-cp311-manylinux_2_31_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.11"
|
||||
https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/cpu/llama_cpp_python-0.2.56+cpuavx-cp310-cp310-manylinux_2_31_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.10"
|
||||
https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/cpu/llama_cpp_python-0.2.56+cpuavx-cp311-cp311-win_amd64.whl; platform_system == "Windows" and python_version == "3.11"
|
||||
https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/cpu/llama_cpp_python-0.2.56+cpuavx-cp310-cp310-win_amd64.whl; platform_system == "Windows" and python_version == "3.10"
|
||||
https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/cpu/llama_cpp_python-0.2.59+cpuavx-cp311-cp311-manylinux_2_31_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.11"
|
||||
https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/cpu/llama_cpp_python-0.2.59+cpuavx-cp310-cp310-manylinux_2_31_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.10"
|
||||
https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/cpu/llama_cpp_python-0.2.59+cpuavx-cp311-cp311-win_amd64.whl; platform_system == "Windows" and python_version == "3.11"
|
||||
https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/cpu/llama_cpp_python-0.2.59+cpuavx-cp310-cp310-win_amd64.whl; platform_system == "Windows" and python_version == "3.10"
|
||||
|
|
|
|||
|
|
@ -33,33 +33,33 @@ sse-starlette==1.6.5
|
|||
tiktoken
|
||||
|
||||
# llama-cpp-python (CPU only, no AVX2)
|
||||
https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/cpu/llama_cpp_python-0.2.56+cpuavx-cp311-cp311-manylinux_2_31_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.11"
|
||||
https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/cpu/llama_cpp_python-0.2.56+cpuavx-cp310-cp310-manylinux_2_31_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.10"
|
||||
https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/cpu/llama_cpp_python-0.2.56+cpuavx-cp311-cp311-win_amd64.whl; platform_system == "Windows" and python_version == "3.11"
|
||||
https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/cpu/llama_cpp_python-0.2.56+cpuavx-cp310-cp310-win_amd64.whl; platform_system == "Windows" and python_version == "3.10"
|
||||
https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/cpu/llama_cpp_python-0.2.59+cpuavx-cp311-cp311-manylinux_2_31_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.11"
|
||||
https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/cpu/llama_cpp_python-0.2.59+cpuavx-cp310-cp310-manylinux_2_31_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.10"
|
||||
https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/cpu/llama_cpp_python-0.2.59+cpuavx-cp311-cp311-win_amd64.whl; platform_system == "Windows" and python_version == "3.11"
|
||||
https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/cpu/llama_cpp_python-0.2.59+cpuavx-cp310-cp310-win_amd64.whl; platform_system == "Windows" and python_version == "3.10"
|
||||
|
||||
# llama-cpp-python (CUDA, no tensor cores)
|
||||
https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/textgen-webui/llama_cpp_python_cuda-0.2.56+cu121avx-cp311-cp311-win_amd64.whl; platform_system == "Windows" and python_version == "3.11"
|
||||
https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/textgen-webui/llama_cpp_python_cuda-0.2.56+cu121avx-cp310-cp310-win_amd64.whl; platform_system == "Windows" and python_version == "3.10"
|
||||
https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/textgen-webui/llama_cpp_python_cuda-0.2.56+cu121avx-cp311-cp311-manylinux_2_31_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.11"
|
||||
https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/textgen-webui/llama_cpp_python_cuda-0.2.56+cu121avx-cp310-cp310-manylinux_2_31_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.10"
|
||||
https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/textgen-webui/llama_cpp_python_cuda-0.2.59+cu121avx-cp311-cp311-win_amd64.whl; platform_system == "Windows" and python_version == "3.11"
|
||||
https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/textgen-webui/llama_cpp_python_cuda-0.2.59+cu121avx-cp310-cp310-win_amd64.whl; platform_system == "Windows" and python_version == "3.10"
|
||||
https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/textgen-webui/llama_cpp_python_cuda-0.2.59+cu121avx-cp311-cp311-manylinux_2_31_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.11"
|
||||
https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/textgen-webui/llama_cpp_python_cuda-0.2.59+cu121avx-cp310-cp310-manylinux_2_31_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.10"
|
||||
|
||||
# llama-cpp-python (CUDA, tensor cores)
|
||||
https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/textgen-webui/llama_cpp_python_cuda_tensorcores-0.2.56+cu121avx-cp311-cp311-win_amd64.whl; platform_system == "Windows" and python_version == "3.11"
|
||||
https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/textgen-webui/llama_cpp_python_cuda_tensorcores-0.2.56+cu121avx-cp310-cp310-win_amd64.whl; platform_system == "Windows" and python_version == "3.10"
|
||||
https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/textgen-webui/llama_cpp_python_cuda_tensorcores-0.2.56+cu121avx-cp311-cp311-manylinux_2_31_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.11"
|
||||
https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/textgen-webui/llama_cpp_python_cuda_tensorcores-0.2.56+cu121avx-cp310-cp310-manylinux_2_31_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.10"
|
||||
https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/textgen-webui/llama_cpp_python_cuda_tensorcores-0.2.59+cu121avx-cp311-cp311-win_amd64.whl; platform_system == "Windows" and python_version == "3.11"
|
||||
https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/textgen-webui/llama_cpp_python_cuda_tensorcores-0.2.59+cu121avx-cp310-cp310-win_amd64.whl; platform_system == "Windows" and python_version == "3.10"
|
||||
https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/textgen-webui/llama_cpp_python_cuda_tensorcores-0.2.59+cu121avx-cp311-cp311-manylinux_2_31_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.11"
|
||||
https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/textgen-webui/llama_cpp_python_cuda_tensorcores-0.2.59+cu121avx-cp310-cp310-manylinux_2_31_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.10"
|
||||
|
||||
# CUDA wheels
|
||||
https://github.com/jllllll/AutoGPTQ/releases/download/v0.6.0/auto_gptq-0.6.0+cu121-cp311-cp311-win_amd64.whl; platform_system == "Windows" and python_version == "3.11"
|
||||
https://github.com/jllllll/AutoGPTQ/releases/download/v0.6.0/auto_gptq-0.6.0+cu121-cp310-cp310-win_amd64.whl; platform_system == "Windows" and python_version == "3.10"
|
||||
https://github.com/jllllll/AutoGPTQ/releases/download/v0.6.0/auto_gptq-0.6.0+cu121-cp311-cp311-linux_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.11"
|
||||
https://github.com/jllllll/AutoGPTQ/releases/download/v0.6.0/auto_gptq-0.6.0+cu121-cp310-cp310-linux_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.10"
|
||||
https://github.com/oobabooga/exllamav2/releases/download/v0.0.15/exllamav2-0.0.15+cu121-cp311-cp311-win_amd64.whl; platform_system == "Windows" and python_version == "3.11"
|
||||
https://github.com/oobabooga/exllamav2/releases/download/v0.0.15/exllamav2-0.0.15+cu121-cp310-cp310-win_amd64.whl; platform_system == "Windows" and python_version == "3.10"
|
||||
https://github.com/oobabooga/exllamav2/releases/download/v0.0.15/exllamav2-0.0.15+cu121-cp311-cp311-linux_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.11"
|
||||
https://github.com/oobabooga/exllamav2/releases/download/v0.0.15/exllamav2-0.0.15+cu121-cp310-cp310-linux_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.10"
|
||||
https://github.com/oobabooga/exllamav2/releases/download/v0.0.15/exllamav2-0.0.15-py3-none-any.whl; platform_system == "Linux" and platform_machine != "x86_64"
|
||||
https://github.com/turboderp/exllamav2/releases/download/v0.0.17/exllamav2-0.0.17+cu121-cp311-cp311-win_amd64.whl; platform_system == "Windows" and python_version == "3.11"
|
||||
https://github.com/turboderp/exllamav2/releases/download/v0.0.17/exllamav2-0.0.17+cu121-cp310-cp310-win_amd64.whl; platform_system == "Windows" and python_version == "3.10"
|
||||
https://github.com/turboderp/exllamav2/releases/download/v0.0.17/exllamav2-0.0.17+cu121-cp311-cp311-linux_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.11"
|
||||
https://github.com/turboderp/exllamav2/releases/download/v0.0.17/exllamav2-0.0.17+cu121-cp310-cp310-linux_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.10"
|
||||
https://github.com/turboderp/exllamav2/releases/download/v0.0.17/exllamav2-0.0.17-py3-none-any.whl; platform_system == "Linux" and platform_machine != "x86_64"
|
||||
https://github.com/oobabooga/flash-attention/releases/download/v2.5.6/flash_attn-2.5.6+cu122torch2.2.0cxx11abiFALSE-cp311-cp311-win_amd64.whl; platform_system == "Windows" and python_version == "3.11"
|
||||
https://github.com/oobabooga/flash-attention/releases/download/v2.5.6/flash_attn-2.5.6+cu122torch2.2.0cxx11abiFALSE-cp310-cp310-win_amd64.whl; platform_system == "Windows" and python_version == "3.10"
|
||||
https://github.com/Dao-AILab/flash-attention/releases/download/v2.5.6/flash_attn-2.5.6+cu122torch2.2cxx11abiFALSE-cp311-cp311-linux_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.11"
|
||||
|
|
@ -68,5 +68,4 @@ https://github.com/jllllll/GPTQ-for-LLaMa-CUDA/releases/download/0.1.1/gptq_for_
|
|||
https://github.com/jllllll/GPTQ-for-LLaMa-CUDA/releases/download/0.1.1/gptq_for_llama-0.1.1+cu121-cp310-cp310-win_amd64.whl; platform_system == "Windows" and python_version == "3.10"
|
||||
https://github.com/jllllll/GPTQ-for-LLaMa-CUDA/releases/download/0.1.1/gptq_for_llama-0.1.1+cu121-cp311-cp311-linux_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.11"
|
||||
https://github.com/jllllll/GPTQ-for-LLaMa-CUDA/releases/download/0.1.1/gptq_for_llama-0.1.1+cu121-cp310-cp310-linux_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.10"
|
||||
https://github.com/jllllll/ctransformers-cuBLAS-wheels/releases/download/AVX/ctransformers-0.2.27+cu121-py3-none-any.whl
|
||||
autoawq==0.2.3; platform_system == "Linux" or platform_system == "Windows"
|
||||
|
|
|
|||
Loading…
Reference in a new issue