Merge pull request #6491 from oobabooga/dev

Merge dev branch
This commit is contained in:
oobabooga 2024-10-25 01:10:23 -03:00 committed by GitHub
commit cc8c7ed209
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16 changed files with 61 additions and 49 deletions

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@ -1,6 +1,7 @@
# by default the Dockerfile specifies these versions: 3.5;5.0;6.0;6.1;7.0;7.5;8.0;8.6+PTX
# however for me to work i had to specify the exact version for my card ( 2060 ) it was 7.5
# https://developer.nvidia.com/cuda-gpus you can find the version for your card here
# Or for a programatic approach run `nvidia-smi --query-gpu=name,compute_cap --format=csv`
TORCH_CUDA_ARCH_LIST=7.5
# the port the webui binds to on the host
HOST_PORT=7860

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@ -96,7 +96,7 @@ def ui():
with gr.Accordion("Settings", open=False):
auto_submit = gr.Checkbox(label='Submit the transcribed audio automatically', value=params['auto_submit'])
device_dropd = gr.Dropdown(label='Device', value=str(startup_device), choices=["cuda", "cpu", "none"])
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"])
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"])
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"])
audio.change(

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@ -0,0 +1,25 @@
instruction_template: |-
{%- set ns = namespace(found=false) -%}
{%- for message in messages -%}
{%- if message['role'] == 'system' -%}
{%- set ns.found = true -%}
{%- endif -%}
{%- endfor -%}
{%- if not ns.found -%}
{{- '' + '' + '' -}}
{%- endif %}
{%- for message in messages %}
{%- if message['role'] == 'system' -%}
{{- '' + message['content'] + '' -}}
{%- else -%}
{%- if message['role'] == 'user' -%}
{{-'User: ' + message['content'] + '\n\n'-}}
{%- else -%}
{{-'Assistant: ' + message['content'] + '\n\n' -}}
{%- endif -%}
{%- endif -%}
{%- endfor -%}
{%- if add_generation_prompt -%}
{{-'Assistant:'-}}
{%- endif -%}

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@ -9,10 +9,11 @@ from modules import shared
from modules.cache_utils import process_llamacpp_cache
imported_module = None
not_available_modules = set()
def llama_cpp_lib():
global imported_module
global imported_module, not_available_modules
# Determine the platform
is_macos = platform.system() == 'Darwin'
@ -31,6 +32,9 @@ def llama_cpp_lib():
]
for arg, lib_name in lib_names:
if lib_name in not_available_modules:
continue
should_import = (arg is None or getattr(shared.args, arg))
if should_import:
@ -44,6 +48,7 @@ def llama_cpp_lib():
monkey_patch_llama_cpp_python(return_lib)
return return_lib
except ImportError:
not_available_modules.add(lib_name)
continue
return None

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@ -136,7 +136,7 @@ class LlamaCppModel:
prompt=prompt,
max_tokens=state['max_new_tokens'],
temperature=state['temperature'],
top_p=state['top_p'],
top_p=state['top_p'] if state['top_p'] < 1 else 0.999,
min_p=state['min_p'],
typical_p=state['typical_p'],
frequency_penalty=state['frequency_penalty'],

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@ -454,7 +454,7 @@ def get_logits_processor_patch(self, **kwargs):
)
# Stuff we don't need
elif warpers[i].__class__.__name__ in ['SuppressTokensLogitsProcessor', 'RepetitionPenaltyLogitsProcessor']:
elif warpers[i].__class__.__name__ in ['RepetitionPenaltyLogitsProcessor']:
del warpers[i]
# Add custom warpers
@ -570,7 +570,6 @@ def get_logits_processor_patch(self, **kwargs):
# Handle temperature_last
if generation_config.temperature_last:
for param_name in ['temperature', 'dynamic_temperature', 'quadratic_sampling']:
if param_name in sampler_priority:
if param_name in sampler_priority:
index = sampler_priority.index(param_name)
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,
conda_sh_path = os.path.join(script_dir, "installer_files", "conda", "etc", "profile.d", "conda.sh")
cmd = f'. "{conda_sh_path}" && conda activate "{conda_env_path}" && {cmd}'
# Set executable to None for Windows, /bin/bash for everything else
executable = None if is_windows() else '/bin/bash'
# Set executable to None for Windows, bash for everything else
executable = None if is_windows() else 'bash'
# Run shell commands
result = subprocess.run(cmd, shell=True, capture_output=capture_output, env=env, executable=executable)
@ -313,7 +313,7 @@ def install_webui():
if selected_gpu == "INTEL":
# Install oneAPI dependencies via conda
print_big_message("Installing Intel oneAPI runtime libraries.")
run_cmd("conda install -y -c intel dpcpp-cpp-rt=2024.0 mkl-dpcpp=2024.0")
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")
# Install libuv required by Intel-patched torch
run_cmd("conda install -y libuv")
@ -329,7 +329,7 @@ def install_extensions_requirements():
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.")
extensions = get_extensions_names()
for i, extension in enumerate(extensions):
print(f"\n\n--- [{i+1}/{len(extensions)}]: {extension}\n\n")
print(f"\n\n--- [{i + 1}/{len(extensions)}]: {extension}\n\n")
extension_req_path = os.path.join("extensions", extension, "requirements.txt")
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 @@
accelerate==0.33.*
accelerate==1.0.*
bitsandbytes==0.44.*
colorama
datasets
@ -6,11 +6,9 @@ einops
fastapi==0.112.4
gradio==4.26.*
jinja2==3.1.4
lm_eval==0.3.0
markdown
numba==0.59.*
numpy==1.26.*
optimum==1.17.*
pandas
peft==0.12.*
Pillow>=9.5.0
@ -23,7 +21,7 @@ safetensors==0.4.*
scipy
sentencepiece
tensorboard
transformers==4.45.*
transformers==4.46.*
tqdm
wandb

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@ -1,15 +1,13 @@
accelerate==0.33.*
accelerate==1.0.*
colorama
datasets
einops
fastapi==0.112.4
gradio==4.26.*
jinja2==3.1.4
lm_eval==0.3.0
markdown
numba==0.59.*
numpy==1.26.*
optimum==1.17.*
pandas
peft==0.12.*
Pillow>=9.5.0
@ -22,7 +20,7 @@ safetensors==0.4.*
scipy
sentencepiece
tensorboard
transformers==4.45.*
transformers==4.46.*
tqdm
wandb

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@ -1,15 +1,13 @@
accelerate==0.33.*
accelerate==1.0.*
colorama
datasets
einops
fastapi==0.112.4
gradio==4.26.*
jinja2==3.1.4
lm_eval==0.3.0
markdown
numba==0.59.*
numpy==1.26.*
optimum==1.17.*
pandas
peft==0.12.*
Pillow>=9.5.0
@ -22,7 +20,7 @@ safetensors==0.4.*
scipy
sentencepiece
tensorboard
transformers==4.45.*
transformers==4.46.*
tqdm
wandb

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@ -1,15 +1,13 @@
accelerate==0.33.*
accelerate==1.0.*
colorama
datasets
einops
fastapi==0.112.4
gradio==4.26.*
jinja2==3.1.4
lm_eval==0.3.0
markdown
numba==0.59.*
numpy==1.26.*
optimum==1.17.*
pandas
peft==0.12.*
Pillow>=9.5.0
@ -22,7 +20,7 @@ safetensors==0.4.*
scipy
sentencepiece
tensorboard
transformers==4.45.*
transformers==4.46.*
tqdm
wandb

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@ -1,15 +1,13 @@
accelerate==0.33.*
accelerate==1.0.*
colorama
datasets
einops
fastapi==0.112.4
gradio==4.26.*
jinja2==3.1.4
lm_eval==0.3.0
markdown
numba==0.59.*
numpy==1.26.*
optimum==1.17.*
pandas
peft==0.12.*
Pillow>=9.5.0
@ -22,7 +20,7 @@ safetensors==0.4.*
scipy
sentencepiece
tensorboard
transformers==4.45.*
transformers==4.46.*
tqdm
wandb

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@ -1,15 +1,13 @@
accelerate==0.33.*
accelerate==1.0.*
colorama
datasets
einops
fastapi==0.112.4
gradio==4.26.*
jinja2==3.1.4
lm_eval==0.3.0
markdown
numba==0.59.*
numpy==1.26.*
optimum==1.17.*
pandas
peft==0.12.*
Pillow>=9.5.0
@ -22,7 +20,7 @@ safetensors==0.4.*
scipy
sentencepiece
tensorboard
transformers==4.45.*
transformers==4.46.*
tqdm
wandb

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@ -1,15 +1,13 @@
accelerate==0.33.*
accelerate==1.0.*
colorama
datasets
einops
fastapi==0.112.4
gradio==4.26.*
jinja2==3.1.4
lm_eval==0.3.0
markdown
numba==0.59.*
numpy==1.26.*
optimum==1.17.*
pandas
peft==0.12.*
Pillow>=9.5.0
@ -22,7 +20,7 @@ safetensors==0.4.*
scipy
sentencepiece
tensorboard
transformers==4.45.*
transformers==4.46.*
tqdm
wandb

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@ -1,4 +1,4 @@
accelerate==0.33.*
accelerate==1.0.*
bitsandbytes==0.44.*
colorama
datasets
@ -6,11 +6,9 @@ einops
fastapi==0.112.4
gradio==4.26.*
jinja2==3.1.4
lm_eval==0.3.0
markdown
numba==0.59.*
numpy==1.26.*
optimum==1.17.*
pandas
peft==0.12.*
Pillow>=9.5.0
@ -23,7 +21,7 @@ safetensors==0.4.*
scipy
sentencepiece
tensorboard
transformers==4.45.*
transformers==4.46.*
tqdm
wandb

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@ -1,15 +1,13 @@
accelerate==0.33.*
accelerate==1.0.*
colorama
datasets
einops
fastapi==0.112.4
gradio==4.26.*
jinja2==3.1.4
lm_eval==0.3.0
markdown
numba==0.59.*
numpy==1.26.*
optimum==1.17.*
pandas
peft==0.12.*
Pillow>=9.5.0
@ -22,7 +20,7 @@ safetensors==0.4.*
scipy
sentencepiece
tensorboard
transformers==4.45.*
transformers==4.46.*
tqdm
wandb