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Add desc_act checkbox to the UI

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oobabooga 2023-06-02 01:45:46 -03:00
parent 9c066601f5
commit 2f6631195a
3 changed files with 6 additions and 4 deletions
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1
README.md
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@ -272,6 +272,7 @@ Optionally, you can use the following command-line flags:
|------------------|-------------|
| `--autogptq` | Use AutoGPTQ for loading quantized models instead of the internal GPTQ loader. |
| `--triton` | Use triton. |
|` --desc_act` | For models that don't have a quantize_config.json, this parameter is used to define whether to set desc_act or not in BaseQuantizeConfig. |
#### FlexGen

2
modules/ui.py
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@ -30,7 +30,7 @@ theme = gr.themes.Default(
def list_model_elements():
elements = ['cpu_memory', 'auto_devices', 'disk', 'cpu', 'bf16', 'load_in_8bit', 'trust_remote_code', 'load_in_4bit', 'compute_dtype', 'quant_type', 'use_double_quant', 'wbits', 'groupsize', 'model_type', 'pre_layer', 'autogptq', 'triton', 'threads', 'n_batch', 'no_mmap', 'mlock', 'n_gpu_layers', 'n_ctx', 'llama_cpp_seed']
elements = ['cpu_memory', 'auto_devices', 'disk', 'cpu', 'bf16', 'load_in_8bit', 'trust_remote_code', 'load_in_4bit', 'compute_dtype', 'quant_type', 'use_double_quant', 'wbits', 'groupsize', 'model_type', 'pre_layer', 'autogptq', 'triton', 'desc_act', 'threads', 'n_batch', 'no_mmap', 'mlock', 'n_gpu_layers', 'n_ctx', 'llama_cpp_seed']
for i in range(torch.cuda.device_count()):
elements.append(f'gpu_memory_{i}')

7
server.py
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@ -390,9 +390,9 @@ def create_model_menus():
with gr.Column():
with gr.Box():
gr.Markdown('GPTQ')
with gr.Row():
with gr.Column():
gr.Markdown('GPTQ')
shared.gradio['wbits'] = gr.Dropdown(label="wbits", choices=["None", 1, 2, 3, 4, 8], value=shared.args.wbits if shared.args.wbits > 0 else "None")
shared.gradio['groupsize'] = gr.Dropdown(label="groupsize", choices=["None", 32, 64, 128, 1024], value=shared.args.groupsize if shared.args.groupsize > 0 else "None")
shared.gradio['model_type'] = gr.Dropdown(label="model_type", choices=["None", "llama", "opt", "gptj"], value=shared.args.model_type or "None")
@ -400,8 +400,9 @@ def create_model_menus():
with gr.Column():
shared.gradio['pre_layer'] = gr.Slider(label="pre_layer", minimum=0, maximum=100, value=shared.args.pre_layer[0] if shared.args.pre_layer is not None else 0)
gr.Markdown('AutoGPTQ')
shared.gradio['autogptq'] = gr.Checkbox(label="autogptq", value=shared.args.autogptq, info='AutoGPTQ needs to be manually installed from source. When enabled, gpu-memory should be used for CPU offloading instead of pre_layer.')
shared.gradio['triton'] = gr.Checkbox(label="triton", value=shared.args.triton, info='Use triton in AutoGPTQ.')
shared.gradio['autogptq'] = gr.Checkbox(label="autogptq", value=shared.args.autogptq, info='When enabled, gpu-memory should be used for CPU offloading instead of pre_layer.')
shared.gradio['triton'] = gr.Checkbox(label="triton", value=shared.args.triton)
shared.gradio['desc_act'] = gr.Checkbox(label="desc_act", value=shared.args.desc_act, info='Only used for old models without a quantize_config.json.')
with gr.Box():
gr.Markdown('llama.cpp')