mirror of
https://github.com/oobabooga/text-generation-webui.git
synced 2024-11-25 17:29:22 +01:00
Cosmetic change of README.md (#878)
This commit is contained in:
parent
8fa182cfa7
commit
2c0018d946
104
README.md
104
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).
|
||||
|
||||
|
Loading…
Reference in New Issue
Block a user