mirror of
https://github.com/oobabooga/text-generation-webui.git
synced 2024-11-23 08:28:21 +01:00
commit
cc8c7ed209
@ -1,6 +1,7 @@
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# by default the Dockerfile specifies these versions: 3.5;5.0;6.0;6.1;7.0;7.5;8.0;8.6+PTX
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# however for me to work i had to specify the exact version for my card ( 2060 ) it was 7.5
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# https://developer.nvidia.com/cuda-gpus you can find the version for your card here
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# Or for a programatic approach run `nvidia-smi --query-gpu=name,compute_cap --format=csv`
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TORCH_CUDA_ARCH_LIST=7.5
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# the port the webui binds to on the host
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HOST_PORT=7860
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@ -96,7 +96,7 @@ def ui():
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with gr.Accordion("Settings", open=False):
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auto_submit = gr.Checkbox(label='Submit the transcribed audio automatically', value=params['auto_submit'])
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device_dropd = gr.Dropdown(label='Device', value=str(startup_device), choices=["cuda", "cpu", "none"])
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whisper_model_dropd = gr.Dropdown(label='Whisper Model', value=params['whipser_model'], choices=["tiny.en", "base.en", "small.en", "medium.en", "tiny", "base", "small", "medium", "large"])
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whisper_model_dropd = gr.Dropdown(label='Whisper Model', value=params['whipser_model'], choices=["tiny.en", "base.en", "small.en", "medium.en", "tiny", "base", "small", "medium", "large", "turbo"])
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whisper_language = gr.Dropdown(label='Whisper Language', value=params['whipser_language'], choices=["english", "chinese", "german", "spanish", "russian", "korean", "french", "japanese", "portuguese", "turkish", "polish", "catalan", "dutch", "arabic", "swedish", "italian", "indonesian", "hindi", "finnish", "vietnamese", "hebrew", "ukrainian", "greek", "malay", "czech", "romanian", "danish", "hungarian", "tamil", "norwegian", "thai", "urdu", "croatian", "bulgarian", "lithuanian", "latin", "maori", "malayalam", "welsh", "slovak", "telugu", "persian", "latvian", "bengali", "serbian", "azerbaijani", "slovenian", "kannada", "estonian", "macedonian", "breton", "basque", "icelandic", "armenian", "nepali", "mongolian", "bosnian", "kazakh", "albanian", "swahili", "galician", "marathi", "punjabi", "sinhala", "khmer", "shona", "yoruba", "somali", "afrikaans", "occitan", "georgian", "belarusian", "tajik", "sindhi", "gujarati", "amharic", "yiddish", "lao", "uzbek", "faroese", "haitian creole", "pashto", "turkmen", "nynorsk", "maltese", "sanskrit", "luxembourgish", "myanmar", "tibetan", "tagalog", "malagasy", "assamese", "tatar", "hawaiian", "lingala", "hausa", "bashkir", "javanese", "sundanese"])
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audio.change(
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25
instruction-templates/RWKV-World.yaml
Normal file
25
instruction-templates/RWKV-World.yaml
Normal file
@ -0,0 +1,25 @@
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instruction_template: |-
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{%- set ns = namespace(found=false) -%}
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{%- for message in messages -%}
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{%- if message['role'] == 'system' -%}
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{%- set ns.found = true -%}
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{%- endif -%}
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{%- endfor -%}
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{%- if not ns.found -%}
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{{- '' + '' + '' -}}
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{%- endif %}
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{%- for message in messages %}
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{%- if message['role'] == 'system' -%}
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{{- '' + message['content'] + '' -}}
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{%- else -%}
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{%- if message['role'] == 'user' -%}
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{{-'User: ' + message['content'] + '\n\n'-}}
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{%- else -%}
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{{-'Assistant: ' + message['content'] + '\n\n' -}}
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{%- endif -%}
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{%- endif -%}
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{%- endfor -%}
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{%- if add_generation_prompt -%}
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{{-'Assistant:'-}}
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{%- endif -%}
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@ -9,10 +9,11 @@ from modules import shared
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from modules.cache_utils import process_llamacpp_cache
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imported_module = None
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not_available_modules = set()
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def llama_cpp_lib():
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global imported_module
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global imported_module, not_available_modules
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# Determine the platform
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is_macos = platform.system() == 'Darwin'
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@ -31,6 +32,9 @@ def llama_cpp_lib():
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]
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for arg, lib_name in lib_names:
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if lib_name in not_available_modules:
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continue
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should_import = (arg is None or getattr(shared.args, arg))
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if should_import:
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@ -44,6 +48,7 @@ def llama_cpp_lib():
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monkey_patch_llama_cpp_python(return_lib)
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return return_lib
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except ImportError:
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not_available_modules.add(lib_name)
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continue
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return None
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@ -136,7 +136,7 @@ class LlamaCppModel:
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prompt=prompt,
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max_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_p=state['top_p'] if state['top_p'] < 1 else 0.999,
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min_p=state['min_p'],
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typical_p=state['typical_p'],
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frequency_penalty=state['frequency_penalty'],
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@ -454,7 +454,7 @@ def get_logits_processor_patch(self, **kwargs):
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)
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# Stuff we don't need
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elif warpers[i].__class__.__name__ in ['SuppressTokensLogitsProcessor', 'RepetitionPenaltyLogitsProcessor']:
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elif warpers[i].__class__.__name__ in ['RepetitionPenaltyLogitsProcessor']:
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del warpers[i]
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# Add custom warpers
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@ -570,7 +570,6 @@ def get_logits_processor_patch(self, **kwargs):
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# Handle temperature_last
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if generation_config.temperature_last:
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for param_name in ['temperature', 'dynamic_temperature', 'quadratic_sampling']:
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if param_name in sampler_priority:
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if param_name in sampler_priority:
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index = sampler_priority.index(param_name)
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sampler_priority.append(sampler_priority.pop(index))
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@ -189,8 +189,8 @@ def run_cmd(cmd, assert_success=False, environment=False, capture_output=False,
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conda_sh_path = os.path.join(script_dir, "installer_files", "conda", "etc", "profile.d", "conda.sh")
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cmd = f'. "{conda_sh_path}" && conda activate "{conda_env_path}" && {cmd}'
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# Set executable to None for Windows, /bin/bash for everything else
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executable = None if is_windows() else '/bin/bash'
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# Set executable to None for Windows, bash for everything else
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executable = None if is_windows() else 'bash'
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# Run shell commands
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result = subprocess.run(cmd, shell=True, capture_output=capture_output, env=env, executable=executable)
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@ -313,7 +313,7 @@ def install_webui():
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if selected_gpu == "INTEL":
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# Install oneAPI dependencies via conda
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print_big_message("Installing Intel oneAPI runtime libraries.")
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run_cmd("conda install -y -c intel dpcpp-cpp-rt=2024.0 mkl-dpcpp=2024.0")
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run_cmd("conda install -y -c https://software.repos.intel.com/python/conda/ -c conda-forge dpcpp-cpp-rt=2024.0 mkl-dpcpp=2024.0")
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# Install libuv required by Intel-patched torch
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run_cmd("conda install -y libuv")
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@ -329,7 +329,7 @@ def install_extensions_requirements():
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print_big_message("Installing extensions requirements.\nSome of these may fail on Windows.\nDon\'t worry if you see error messages, as they will not affect the main program.")
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extensions = get_extensions_names()
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for i, extension in enumerate(extensions):
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print(f"\n\n--- [{i+1}/{len(extensions)}]: {extension}\n\n")
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print(f"\n\n--- [{i + 1}/{len(extensions)}]: {extension}\n\n")
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extension_req_path = os.path.join("extensions", extension, "requirements.txt")
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run_cmd(f"python -m pip install -r {extension_req_path} --upgrade", assert_success=False, environment=True)
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@ -1,4 +1,4 @@
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accelerate==0.33.*
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accelerate==1.0.*
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bitsandbytes==0.44.*
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colorama
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datasets
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@ -6,11 +6,9 @@ einops
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fastapi==0.112.4
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gradio==4.26.*
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jinja2==3.1.4
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lm_eval==0.3.0
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markdown
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numba==0.59.*
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numpy==1.26.*
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optimum==1.17.*
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pandas
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peft==0.12.*
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Pillow>=9.5.0
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@ -23,7 +21,7 @@ safetensors==0.4.*
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scipy
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sentencepiece
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tensorboard
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transformers==4.45.*
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transformers==4.46.*
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tqdm
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wandb
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@ -1,15 +1,13 @@
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accelerate==0.33.*
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accelerate==1.0.*
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colorama
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datasets
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einops
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fastapi==0.112.4
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gradio==4.26.*
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jinja2==3.1.4
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lm_eval==0.3.0
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markdown
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numba==0.59.*
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numpy==1.26.*
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optimum==1.17.*
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pandas
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peft==0.12.*
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Pillow>=9.5.0
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@ -22,7 +20,7 @@ safetensors==0.4.*
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scipy
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sentencepiece
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tensorboard
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transformers==4.45.*
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transformers==4.46.*
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tqdm
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wandb
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@ -1,15 +1,13 @@
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accelerate==0.33.*
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accelerate==1.0.*
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colorama
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datasets
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einops
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fastapi==0.112.4
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gradio==4.26.*
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jinja2==3.1.4
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lm_eval==0.3.0
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markdown
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numba==0.59.*
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numpy==1.26.*
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optimum==1.17.*
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pandas
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peft==0.12.*
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Pillow>=9.5.0
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@ -22,7 +20,7 @@ safetensors==0.4.*
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scipy
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sentencepiece
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tensorboard
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transformers==4.45.*
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transformers==4.46.*
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tqdm
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wandb
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|
@ -1,15 +1,13 @@
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accelerate==0.33.*
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accelerate==1.0.*
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colorama
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datasets
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einops
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fastapi==0.112.4
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gradio==4.26.*
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jinja2==3.1.4
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lm_eval==0.3.0
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markdown
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numba==0.59.*
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numpy==1.26.*
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optimum==1.17.*
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pandas
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peft==0.12.*
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Pillow>=9.5.0
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@ -22,7 +20,7 @@ safetensors==0.4.*
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scipy
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sentencepiece
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tensorboard
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transformers==4.45.*
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transformers==4.46.*
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tqdm
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wandb
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|
@ -1,15 +1,13 @@
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accelerate==0.33.*
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accelerate==1.0.*
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colorama
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datasets
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einops
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fastapi==0.112.4
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gradio==4.26.*
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jinja2==3.1.4
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lm_eval==0.3.0
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markdown
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numba==0.59.*
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numpy==1.26.*
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optimum==1.17.*
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pandas
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peft==0.12.*
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Pillow>=9.5.0
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@ -22,7 +20,7 @@ safetensors==0.4.*
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scipy
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sentencepiece
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tensorboard
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transformers==4.45.*
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transformers==4.46.*
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tqdm
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wandb
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|
@ -1,15 +1,13 @@
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accelerate==0.33.*
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accelerate==1.0.*
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colorama
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datasets
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einops
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fastapi==0.112.4
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gradio==4.26.*
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jinja2==3.1.4
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lm_eval==0.3.0
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markdown
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numba==0.59.*
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numpy==1.26.*
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optimum==1.17.*
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pandas
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peft==0.12.*
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Pillow>=9.5.0
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@ -22,7 +20,7 @@ safetensors==0.4.*
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scipy
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sentencepiece
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tensorboard
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transformers==4.45.*
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transformers==4.46.*
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tqdm
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wandb
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|
@ -1,15 +1,13 @@
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accelerate==0.33.*
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accelerate==1.0.*
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colorama
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datasets
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einops
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fastapi==0.112.4
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gradio==4.26.*
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jinja2==3.1.4
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lm_eval==0.3.0
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markdown
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numba==0.59.*
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numpy==1.26.*
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optimum==1.17.*
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pandas
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peft==0.12.*
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Pillow>=9.5.0
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@ -22,7 +20,7 @@ safetensors==0.4.*
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scipy
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sentencepiece
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tensorboard
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transformers==4.45.*
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transformers==4.46.*
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tqdm
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wandb
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|
@ -1,4 +1,4 @@
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accelerate==0.33.*
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accelerate==1.0.*
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bitsandbytes==0.44.*
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colorama
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datasets
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@ -6,11 +6,9 @@ einops
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fastapi==0.112.4
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gradio==4.26.*
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jinja2==3.1.4
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lm_eval==0.3.0
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markdown
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numba==0.59.*
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numpy==1.26.*
|
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optimum==1.17.*
|
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pandas
|
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peft==0.12.*
|
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Pillow>=9.5.0
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@ -23,7 +21,7 @@ safetensors==0.4.*
|
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scipy
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sentencepiece
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tensorboard
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transformers==4.45.*
|
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transformers==4.46.*
|
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tqdm
|
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wandb
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||||
|
||||
|
@ -1,15 +1,13 @@
|
||||
accelerate==0.33.*
|
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accelerate==1.0.*
|
||||
colorama
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datasets
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einops
|
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fastapi==0.112.4
|
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gradio==4.26.*
|
||||
jinja2==3.1.4
|
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lm_eval==0.3.0
|
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markdown
|
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numba==0.59.*
|
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numpy==1.26.*
|
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optimum==1.17.*
|
||||
pandas
|
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peft==0.12.*
|
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Pillow>=9.5.0
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@ -22,7 +20,7 @@ safetensors==0.4.*
|
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scipy
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sentencepiece
|
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tensorboard
|
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transformers==4.45.*
|
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transformers==4.46.*
|
||||
tqdm
|
||||
wandb
|
||||
|
||||
|
Loading…
Reference in New Issue
Block a user