Cosmetic change of README.md (#878)

README.md

@@ -191,82 +191,82 @@ Optionally, you can use the following command-line flags:
 
 #### Basic settings
 
-| Flag             | Description |
-|------------------|-------------|
-| `-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 |
-| `--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. |
-|  `--verbose`                                | Print the prompts to the terminal. |
+| Flag                                       | Description |
+|--------------------------------------------|-------------|
+| `-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. |
+| `--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. |
+| `--verbose`                                | Print the prompts to the terminal. |
 
 #### 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`. |
-| `--cpu-memory CPU_MEMORY` | Maximum CPU memory in GiB to allocate for offloaded weights. Same as above.|
-| `--disk`         | If the model is too large for your GPU(s) and CPU combined, send the remaining layers to the disk. |
-| `--disk-cache-dir DISK_CACHE_DIR` | Directory to save the disk cache to. Defaults to `cache/`. |
-| `--load-in-8bit` | Load the model with 8-bit precision.|
-| `--bf16`         | Load the model with bfloat16 precision. Requires NVIDIA Ampere GPU. |
-| `--no-cache`     | Set `use_cache` to False while generating text. This reduces the VRAM usage a bit with a performance cost. |
+| 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`. |
+| `--cpu-memory CPU_MEMORY`                   | Maximum CPU memory in GiB to allocate for offloaded weights. Same as above.|
+| `--disk`                                    | If the model is too large for your GPU(s) and CPU combined, send the remaining layers to the disk. |
+| `--disk-cache-dir DISK_CACHE_DIR`           | Directory to save the disk cache to. Defaults to `cache/`. |
+| `--load-in-8bit`                            | Load the model with 8-bit precision.|
+| `--bf16`                                    | Load the model with bfloat16 precision. Requires NVIDIA Ampere GPU. |
+| `--no-cache`                                | Set `use_cache` to False while generating text. This reduces the VRAM usage a bit with a performance cost. |
 
 #### llama.cpp
 
-| Flag             | Description |
-|------------------|-------------|
-| `--threads`     | Number of threads to use in 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. |
-| `--pre_layer PRE_LAYER`    | GPTQ: The number of layers to allocate to the GPU. Setting this parameter enables CPU offloading for 4-bit models. |
+| 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. |
+| `--pre_layer PRE_LAYER`   | GPTQ: The number of layers to allocate to the GPU. Setting this parameter enables CPU offloading for 4-bit models. |
 
 #### FlexGen
 
 | Flag             | Description |
 |------------------|-------------|
-| `--flexgen`      | Enable the use of FlexGen offloading. |
-|  `--percent PERCENT [PERCENT ...]` |  FlexGen: allocation percentages. Must be 6 numbers separated by spaces (default: 0, 100, 100, 0, 100, 0). |
-|  `--compress-weight` |  FlexGen: Whether to compress weight (default: False).|
-|  `--pin-weight [PIN_WEIGHT]` |       FlexGen: whether to pin weights (setting this to False reduces CPU memory by 20%). |
+| `--flexgen`                       | Enable the use of FlexGen offloading. |
+| `--percent PERCENT [PERCENT ...]` | FlexGen: allocation percentages. Must be 6 numbers separated by spaces (default: 0, 100, 100, 0, 100, 0). |
+| `--compress-weight`               | FlexGen: Whether to compress weight (default: False).|
+| `--pin-weight [PIN_WEIGHT]`       | FlexGen: whether to pin weights (setting this to False reduces CPU memory by 20%). |
 
 #### DeepSpeed
 
-| Flag             | Description |
-|------------------|-------------|
-| `--deepspeed`    | Enable the use of DeepSpeed ZeRO-3 for inference via the Transformers integration. |
+| 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. |
+| `--local_rank LOCAL_RANK`             | DeepSpeed: Optional argument for distributed setups. |
 
 #### 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. |
+| 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. |
-|  `--auto-launch`                            | Open the web UI in the default browser upon launch. |
-|  `--gradio-auth-path GRADIO_AUTH_PATH`      | Set the gradio authentication file path. The file should contain one or more user:password pairs in this format: "u1:p1,u2:p2,u3:p3" |
+| 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. |
+| `--auto-launch`                       | Open the web UI in the default browser upon launch. |
+| `--gradio-auth-path GRADIO_AUTH_PATH` | Set the gradio authentication file path. The file should contain one or more user:password pairs in this format: "u1:p1,u2:p2,u3:p3" |
 
 Out of memory errors? [Check the low VRAM guide](https://github.com/oobabooga/text-generation-webui/wiki/Low-VRAM-guide).