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| import argparse | |
| import logging | |
| from pathlib import Path | |
| import yaml | |
| model = None | |
| tokenizer = None | |
| model_name = "None" | |
| model_type = None | |
| lora_names = [] | |
| soft_prompt_tensor = None | |
| soft_prompt = False | |
| # Chat variables | |
| history = {'internal': [], 'visible': []} | |
| character = 'None' | |
| stop_everything = False | |
| processing_message = '*Is typing...*' | |
| # UI elements (buttons, sliders, HTML, etc) | |
| gradio = {} | |
| # For keeping the values of UI elements on page reload | |
| persistent_interface_state = {} | |
| # Generation input parameters | |
| input_params = [] | |
| # For restarting the interface | |
| need_restart = False | |
| settings = { | |
| 'max_new_tokens': 200, | |
| 'max_new_tokens_min': 1, | |
| 'max_new_tokens_max': 2000, | |
| 'seed': -1, | |
| 'character': 'None', | |
| 'name1': 'You', | |
| 'name2': 'Assistant', | |
| 'context': 'This is a conversation with your Assistant. The Assistant is very helpful and is eager to chat with you and answer your questions.', | |
| 'greeting': '', | |
| 'turn_template': '', | |
| 'custom_stopping_strings': '', | |
| 'stop_at_newline': False, | |
| 'add_bos_token': True, | |
| 'ban_eos_token': False, | |
| 'skip_special_tokens': True, | |
| 'truncation_length': 2048, | |
| 'truncation_length_min': 0, | |
| 'truncation_length_max': 8192, | |
| 'mode': 'cai-chat', | |
| 'instruction_template': 'None', | |
| 'chat_prompt_size': 2048, | |
| 'chat_prompt_size_min': 0, | |
| 'chat_prompt_size_max': 2048, | |
| 'chat_generation_attempts': 1, | |
| 'chat_generation_attempts_min': 1, | |
| 'chat_generation_attempts_max': 5, | |
| 'default_extensions': [], | |
| 'chat_default_extensions': ["gallery"], | |
| 'presets': { | |
| 'default': 'Default', | |
| '.*(alpaca|llama|llava)': "LLaMA-Precise", | |
| '.*pygmalion': 'NovelAI-Storywriter', | |
| '.*RWKV': 'Naive', | |
| }, | |
| 'prompts': { | |
| 'default': 'QA', | |
| '.*(gpt4chan|gpt-4chan|4chan)': 'GPT-4chan', | |
| '.*oasst': 'Open Assistant', | |
| '.*alpaca': "Alpaca", | |
| }, | |
| 'lora_prompts': { | |
| 'default': 'QA', | |
| '.*alpaca': "Alpaca", | |
| } | |
| } | |
| def str2bool(v): | |
| if isinstance(v, bool): | |
| return v | |
| if v.lower() in ('yes', 'true', 't', 'y', '1'): | |
| return True | |
| elif v.lower() in ('no', 'false', 'f', 'n', '0'): | |
| return False | |
| else: | |
| raise argparse.ArgumentTypeError('Boolean value expected.') | |
| parser = argparse.ArgumentParser(formatter_class=lambda prog: argparse.HelpFormatter(prog, max_help_position=54)) | |
| # Basic settings | |
| parser.add_argument('--notebook', action='store_true', help='Launch the web UI in notebook mode, where the output is written to the same text box as the input.') | |
| parser.add_argument('--chat', action='store_true', help='Launch the web UI in chat mode with a style similar to the Character.AI website.') | |
| parser.add_argument('--cai-chat', action='store_true', help='DEPRECATED: use --chat instead.') | |
| parser.add_argument('--character', type=str, help='The name of the character to load in chat mode by default.') | |
| parser.add_argument('--model', type=str, help='Name of the model to load by default.') | |
| parser.add_argument('--lora', type=str, nargs="+", help='The list of LoRAs to load. If you want to load more than one LoRA, write the names separated by spaces.') | |
| parser.add_argument("--model-dir", type=str, default='models/', help="Path to directory with all the models") | |
| parser.add_argument("--lora-dir", type=str, default='loras/', help="Path to directory with all the loras") | |
| parser.add_argument('--model-menu', action='store_true', help='Show a model menu in the terminal when the web UI is first launched.') | |
| parser.add_argument('--no-stream', action='store_true', help='Don\'t stream the text output in real time.') | |
| parser.add_argument('--settings', type=str, help='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.') | |
| parser.add_argument('--extensions', type=str, nargs="+", help='The list of extensions to load. If you want to load more than one extension, write the names separated by spaces.') | |
| parser.add_argument('--verbose', action='store_true', help='Print the prompts to the terminal.') | |
| # Accelerate/transformers | |
| parser.add_argument('--cpu', action='store_true', help='Use the CPU to generate text. Warning: Training on CPU is extremely slow.') | |
| parser.add_argument('--auto-devices', action='store_true', help='Automatically split the model across the available GPU(s) and CPU.') | |
| parser.add_argument('--gpu-memory', type=str, nargs="+", help='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.') | |
| parser.add_argument('--cpu-memory', type=str, help='Maximum CPU memory in GiB to allocate for offloaded weights. Same as above.') | |
| parser.add_argument('--disk', action='store_true', help='If the model is too large for your GPU(s) and CPU combined, send the remaining layers to the disk.') | |
| parser.add_argument('--disk-cache-dir', type=str, default="cache", help='Directory to save the disk cache to. Defaults to "cache".') | |
| parser.add_argument('--load-in-8bit', action='store_true', help='Load the model with 8-bit precision.') | |
| parser.add_argument('--bf16', action='store_true', help='Load the model with bfloat16 precision. Requires NVIDIA Ampere GPU.') | |
| parser.add_argument('--no-cache', action='store_true', help='Set use_cache to False while generating text. This reduces the VRAM usage a bit at a performance cost.') | |
| parser.add_argument('--xformers', action='store_true', help="Use xformer's memory efficient attention. This should increase your tokens/s.") | |
| parser.add_argument('--sdp-attention', action='store_true', help="Use torch 2.0's sdp attention.") | |
| parser.add_argument('--trust-remote-code', action='store_true', help="Set trust_remote_code=True while loading a model. Necessary for ChatGLM.") | |
| # llama.cpp | |
| parser.add_argument('--threads', type=int, default=0, help='Number of threads to use.') | |
| parser.add_argument('--n_batch', type=int, default=512, help='Maximum number of prompt tokens to batch together when calling llama_eval.') | |
| parser.add_argument('--no-mmap', action='store_true', help='Prevent mmap from being used.') | |
| parser.add_argument('--mlock', action='store_true', help='Force the system to keep the model in RAM.') | |
| # GPTQ | |
| parser.add_argument('--wbits', type=int, default=0, help='Load a pre-quantized model with specified precision in bits. 2, 3, 4 and 8 are supported.') | |
| parser.add_argument('--model_type', type=str, help='Model type of pre-quantized model. Currently LLaMA, OPT, and GPT-J are supported.') | |
| parser.add_argument('--groupsize', type=int, default=-1, help='Group size.') | |
| parser.add_argument('--pre_layer', type=int, default=0, help='The number of layers to allocate to the GPU. Setting this parameter enables CPU offloading for 4-bit models.') | |
| parser.add_argument('--monkey-patch', action='store_true', help='Apply the monkey patch for using LoRAs with quantized models.') | |
| parser.add_argument('--quant_attn', action='store_true', help='(triton) Enable quant attention.') | |
| parser.add_argument('--warmup_autotune', action='store_true', help='(triton) Enable warmup autotune.') | |
| parser.add_argument('--fused_mlp', action='store_true', help='(triton) Enable fused mlp.') | |
| # FlexGen | |
| parser.add_argument('--flexgen', action='store_true', help='Enable the use of FlexGen offloading.') | |
| parser.add_argument('--percent', type=int, nargs="+", default=[0, 100, 100, 0, 100, 0], help='FlexGen: allocation percentages. Must be 6 numbers separated by spaces (default: 0, 100, 100, 0, 100, 0).') | |
| parser.add_argument("--compress-weight", action="store_true", help="FlexGen: activate weight compression.") | |
| parser.add_argument("--pin-weight", type=str2bool, nargs="?", const=True, default=True, help="FlexGen: whether to pin weights (setting this to False reduces CPU memory by 20%%).") | |
| # DeepSpeed | |
| parser.add_argument('--deepspeed', action='store_true', help='Enable the use of DeepSpeed ZeRO-3 for inference via the Transformers integration.') | |
| parser.add_argument('--nvme-offload-dir', type=str, help='DeepSpeed: Directory to use for ZeRO-3 NVME offloading.') | |
| parser.add_argument('--local_rank', type=int, default=0, help='DeepSpeed: Optional argument for distributed setups.') | |
| # RWKV | |
| parser.add_argument('--rwkv-strategy', type=str, default=None, help='RWKV: The strategy to use while loading the model. Examples: "cpu fp32", "cuda fp16", "cuda fp16i8".') | |
| parser.add_argument('--rwkv-cuda-on', action='store_true', help='RWKV: Compile the CUDA kernel for better performance.') | |
| # Gradio | |
| parser.add_argument('--listen', action='store_true', help='Make the web UI reachable from your local network.') | |
| parser.add_argument('--listen-host', type=str, help='The hostname that the server will use.') | |
| parser.add_argument('--listen-port', type=int, help='The listening port that the server will use.') | |
| parser.add_argument('--share', action='store_true', help='Create a public URL. This is useful for running the web UI on Google Colab or similar.') | |
| parser.add_argument('--auto-launch', action='store_true', default=False, help='Open the web UI in the default browser upon launch.') | |
| parser.add_argument("--gradio-auth-path", type=str, help='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"', default=None) | |
| # API | |
| parser.add_argument('--api', action='store_true', help='Enable the API extension.') | |
| parser.add_argument('--public-api', action='store_true', help='Create a public URL for the API using Cloudfare.') | |
| args = parser.parse_args() | |
| args_defaults = parser.parse_args([]) | |
| # Deprecation warnings for parameters that have been renamed | |
| deprecated_dict = {} | |
| for k in deprecated_dict: | |
| if getattr(args, k) != deprecated_dict[k][1]: | |
| logging.warning(f"--{k} is deprecated and will be removed. Use --{deprecated_dict[k][0]} instead.") | |
| setattr(args, deprecated_dict[k][0], getattr(args, k)) | |
| # Deprecation warnings for parameters that have been removed | |
| if args.cai_chat: | |
| logging.warning("--cai-chat is deprecated. Use --chat instead.") | |
| args.chat = True | |
| # Security warnings | |
| if args.trust_remote_code: | |
| logging.warning("trust_remote_code is enabled. This is dangerous.") | |
| if args.share: | |
| logging.warning("The gradio \"share link\" feature downloads a proprietary and unaudited blob to create a reverse tunnel. This is potentially dangerous.") | |
| # Activating the API extension | |
| if args.api or args.public_api: | |
| if args.extensions is None: | |
| args.extensions = ['api'] | |
| elif 'api' not in args.extensions: | |
| args.extensions.append('api') | |
| def is_chat(): | |
| return args.chat | |
| # Loading model-specific settings (default) | |
| with Path(f'{args.model_dir}/config.yaml') as p: | |
| if p.exists(): | |
| model_config = yaml.safe_load(open(p, 'r').read()) | |
| else: | |
| model_config = {} | |
| # Applying user-defined model settings | |
| with Path(f'{args.model_dir}/config-user.yaml') as p: | |
| if p.exists(): | |
| user_config = yaml.safe_load(open(p, 'r').read()) | |
| for k in user_config: | |
| if k in model_config: | |
| model_config[k].update(user_config[k]) | |
| else: | |
| model_config[k] = user_config[k] | |