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Cosmetic change of README.md (#878)

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@ -192,14 +192,14 @@ Optionally, you can use the following command-line flags:
#### Basic settings
| Flag | Description |
|------------------|-------------|
| `-h`, `--help` | show this help message and exit |
|--------------------------------------------|-------------|
| `-h`, `--help` | Show this help message and exit. |
| `--notebook` | Launch the web UI in notebook mode, where the output is written to the same text box as the input. |
| `--chat` | Launch the web UI in chat mode. |
| `--model MODEL` | Name of the model to load by default. |
| `--lora LORA` | Name of the LoRA to apply to the model by default. |
| `--model-dir MODEL_DIR` | Path to directory with all the models |
| `--lora-dir LORA_DIR` | Path to directory with all the loras |
| `--model-dir MODEL_DIR` | Path to directory with all the models. |
| `--lora-dir LORA_DIR` | Path to directory with all the loras. |
| `--no-stream` | Don't stream the text output in real time. |
| `--settings SETTINGS_FILE` | Load the default interface settings from this json file. See `settings-template.json` for an example. If you create a file called `settings.json`, this file will be loaded by default without the need to use the `--settings` flag. |
| `--extensions EXTENSIONS [EXTENSIONS ...]` | The list of extensions to load. If you want to load more than one extension, write the names separated by spaces. |
@ -208,7 +208,7 @@ Optionally, you can use the following command-line flags:
#### Accelerate/transformers
| Flag | Description |
|------------------|-------------|
|---------------------------------------------|-------------|
| `--cpu` | Use the CPU to generate text. |
| `--auto-devices` | Automatically split the model across the available GPU(s) and CPU. |
| `--gpu-memory GPU_MEMORY [GPU_MEMORY ...]` | Maxmimum GPU memory in GiB to be allocated per GPU. Example: `--gpu-memory 10` for a single GPU, `--gpu-memory 10 5` for two GPUs. You can also set values in MiB like `--gpu-memory 3500MiB`. |
@ -222,13 +222,13 @@ Optionally, you can use the following command-line flags:
#### llama.cpp
| Flag | Description |
|------------------|-------------|
|-------------|-------------|
| `--threads` | Number of threads to use in llama.cpp. |
#### GPTQ
| Flag | Description |
|------------------|-------------|
|---------------------------|-------------|
| `--wbits WBITS` | GPTQ: Load a pre-quantized model with specified precision in bits. 2, 3, 4 and 8 are supported. |
| `--model_type MODEL_TYPE` | GPTQ: Model type of pre-quantized model. Currently LLaMA, OPT, and GPT-J are supported. |
| `--groupsize GROUPSIZE` | GPTQ: Group size. |
@ -246,7 +246,7 @@ Optionally, you can use the following command-line flags:
#### DeepSpeed
| Flag | Description |
|------------------|-------------|
|---------------------------------------|-------------|
| `--deepspeed` | Enable the use of DeepSpeed ZeRO-3 for inference via the Transformers integration. |
| `--nvme-offload-dir NVME_OFFLOAD_DIR` | DeepSpeed: Directory to use for ZeRO-3 NVME offloading. |
| `--local_rank LOCAL_RANK` | DeepSpeed: Optional argument for distributed setups. |
@ -254,14 +254,14 @@ Optionally, you can use the following command-line flags:
#### RWKV
| Flag | Description |
|------------------|-------------|
|---------------------------------|-------------|
| `--rwkv-strategy RWKV_STRATEGY` | RWKV: The strategy to use while loading the model. Examples: "cpu fp32", "cuda fp16", "cuda fp16i8". |
| `--rwkv-cuda-on` | RWKV: Compile the CUDA kernel for better performance. |
#### Gradio
| Flag | Description |
|------------------|-------------|
|---------------------------------------|-------------|
| `--listen` | Make the web UI reachable from your local network. |
| `--listen-port LISTEN_PORT` | The listening port that the server will use. |
| `--share` | Create a public URL. This is useful for running the web UI on Google Colab or similar. |