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import gradio as gr |
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import yaml |
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MARKDOWN_DESCRIPTION = """ |
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# mergekit config.yaml generator |
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GUI to template a YAML configuration file for mergekit, which you can then copy/paste into [mergekit-gui](https://huggingface.co/spaces/arcee-ai/mergekit-gui) 🔥 |
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""" |
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DEFAULT_PARAMETERS = """ |
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t: |
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- filter: self_attn |
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value: [0, 0.5, 0.3, 0.7, 1] |
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- filter: mlp |
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value: [1, 0.5, 0.7, 0.3, 0] |
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- value: 0.5 |
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""" |
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def create_config_yaml( |
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model1, |
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model1_layers, |
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model2, |
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model2_layers, |
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merge_method, |
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base_model, |
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parameters, |
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dtype, |
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) -> str: |
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dict_config = { |
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"slices": [ |
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{ |
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"sources": [ |
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{"model": model1, "layer_range": yaml.safe_load(model1_layers)}, |
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{"model": model2, "layer_range": yaml.safe_load(model2_layers)}, |
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] |
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} |
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], |
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"merge_method": merge_method, |
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"base_model": base_model, |
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} |
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if parameters: |
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dict_config["parameters"] = yaml.safe_load(parameters) |
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if dtype: |
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dict_config["dtype"] = dtype |
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return yaml.dump(dict_config, sort_keys=False) |
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with gr.Blocks() as demo: |
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gr.Markdown(MARKDOWN_DESCRIPTION) |
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with gr.Row(): |
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model1_input = gr.Textbox(label="Model 1", value="BioMistral/BioMistral-7B") |
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model1_layers_input = gr.Textbox( |
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label="Model 1 Layer Range", placeholder="[start, end]", value="[0, 32]" |
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) |
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model2_input = gr.Textbox( |
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label="Model 2", value="CorticalStack/pastiche-crown-clown-7b-dare-dpo" |
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) |
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model2_layers_input = gr.Textbox( |
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label="Model 2 Layer Range", placeholder="[start, end]", value="[0, 32]" |
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) |
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merge_method_input = gr.Dropdown( |
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label="Merge Method", choices=["slerp", "linear"], value="slerp" |
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) |
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base_model_input = gr.Textbox(label="Base Model", value="BioMistral/BioMistral-7B") |
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parameters_input = gr.Code( |
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language="yaml", |
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label="Merge Parameters", |
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value=DEFAULT_PARAMETERS, |
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) |
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dtype_input = gr.Textbox(label="Dtype", value="bfloat16") |
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create_button = gr.Button("Create config.yaml", variant="primary") |
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output_zone = gr.Code(language="yaml", lines=10) |
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create_button.click( |
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fn=create_config_yaml, |
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inputs=[ |
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model1_input, |
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model1_layers_input, |
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model2_input, |
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model2_layers_input, |
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merge_method_input, |
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base_model_input, |
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parameters_input, |
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dtype_input, |
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], |
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outputs=[output_zone], |
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) |
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gr.Markdown("A Space by [1littlecoder](https://huggingface.co/1littlecoder)") |
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demo.launch() |
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