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Duplicate from rustformers/mpt-7b-instruct

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Co-authored-by: Lukas Kreussel <LLukas22@users.noreply.huggingface.co>

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  1. .gitattributes +34 -0
  2. README.md +14 -0
  3. app.py +151 -0
  4. requirements.txt +2 -0
.gitattributes ADDED
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+ *.7z filter=lfs diff=lfs merge=lfs -text
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+ *.mlmodel filter=lfs diff=lfs merge=lfs -text
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+ *.model filter=lfs diff=lfs merge=lfs -text
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README.md ADDED
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+ ---
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+ title: 'Rustformers: Mpt 7b Instruct'
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+ emoji: 🦀
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+ colorFrom: yellow
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+ colorTo: red
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+ sdk: gradio
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+ sdk_version: 3.32.0
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+ app_file: app.py
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+ pinned: false
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+ license: mit
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+ duplicated_from: rustformers/mpt-7b-instruct
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+ ---
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+
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+ Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
app.py ADDED
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+ import gradio as gr
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+ from llm_rs import AutoModel,SessionConfig,GenerationConfig,Precision
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+
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+ repo_name = "rustformers/mpt-7b-ggml"
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+ file_name = "mpt-7b-instruct-q5_1-ggjt.bin"
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+
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+ examples = [
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+ "Write a travel blog about a 3-day trip to Thailand.",
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+ "Tell me a short story about a robot that has a nice day.",
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+ "Compose a tweet to congratulate rustformers on the launch of their HuggingFace Space.",
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+ "Explain how a candle works to a 6-year-old in a few sentences.",
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+ "What are some of the most common misconceptions about birds?",
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+ "Explain why the Rust programming language is so popular.",
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+ ]
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+
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+ session_config = SessionConfig(threads=2,batch_size=2)
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+ model = AutoModel.from_pretrained(repo_name, model_file=file_name, session_config=session_config,verbose=True)
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+
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+ def process_stream(instruction, temperature, top_p, top_k, max_new_tokens, seed):
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+
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+ prompt=f"""Below is an instruction that describes a task. Write a response that appropriately completes the request.
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+ ### Instruction:
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+ {instruction}
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+ ### Response:
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+ Answer:"""
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+ generation_config = GenerationConfig(seed=seed,temperature=temperature,top_p=top_p,top_k=top_k,max_new_tokens=max_new_tokens)
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+ response = ""
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+ streamer = model.stream(prompt=prompt,generation_config=generation_config)
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+ for new_text in streamer:
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+ response += new_text
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+ yield response
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+
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+
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+ with gr.Blocks(
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+ theme=gr.themes.Soft(),
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+ css=".disclaimer {font-variant-caps: all-small-caps;}",
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+ ) as demo:
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+ gr.Markdown(
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+ """<h1><center>MPT-7B-Instruct on CPU in Rust 🦀</center></h1>
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+
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+ This demo uses the [rustformers/llm](https://github.com/rustformers/llm) library via [llm-rs](https://github.com/LLukas22/llm-rs-python) to execute [MPT-7B-Instruct](https://huggingface.co/mosaicml/mpt-7b-instruct) on 2 CPU cores.
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+ """
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+ )
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+ with gr.Row():
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+ with gr.Column():
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+ with gr.Row():
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+ instruction = gr.Textbox(
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+ placeholder="Enter your question or instruction here",
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+ label="Question/Instruction",
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+ elem_id="q-input",
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+ )
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+ with gr.Accordion("Advanced Options:", open=False):
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+ with gr.Row():
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+ with gr.Column():
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+ with gr.Row():
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+ temperature = gr.Slider(
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+ label="Temperature",
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+ value=0.8,
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+ minimum=0.1,
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+ maximum=1.0,
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+ step=0.1,
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+ interactive=True,
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+ info="Higher values produce more diverse outputs",
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+ )
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+ with gr.Column():
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+ with gr.Row():
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+ top_p = gr.Slider(
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+ label="Top-p (nucleus sampling)",
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+ value=0.95,
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+ minimum=0.0,
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+ maximum=1.0,
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+ step=0.01,
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+ interactive=True,
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+ info=(
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+ "Sample from the smallest possible set of tokens whose cumulative probability "
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+ "exceeds top_p. Set to 1 to disable and sample from all tokens."
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+ ),
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+ )
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+ with gr.Column():
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+ with gr.Row():
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+ top_k = gr.Slider(
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+ label="Top-k",
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+ value=40,
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+ minimum=5,
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+ maximum=80,
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+ step=1,
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+ interactive=True,
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+ info="Sample from a shortlist of top-k tokens — 0 to disable and sample from all tokens.",
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+ )
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+ with gr.Column():
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+ with gr.Row():
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+ max_new_tokens = gr.Slider(
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+ label="Maximum new tokens",
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+ value=256,
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+ minimum=0,
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+ maximum=1024,
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+ step=5,
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+ interactive=True,
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+ info="The maximum number of new tokens to generate",
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+ )
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+
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+ with gr.Column():
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+ with gr.Row():
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+ seed = gr.Number(
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+ label="Seed",
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+ value=42,
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+ interactive=True,
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+ info="The seed to use for the generation",
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+ precision=0
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+ )
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+ with gr.Row():
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+ submit = gr.Button("Submit")
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+ with gr.Row():
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+ with gr.Box():
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+ gr.Markdown("**MPT-7B-Instruct**")
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+ output_7b = gr.Markdown()
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+
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+ with gr.Row():
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+ gr.Examples(
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+ examples=examples,
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+ inputs=[instruction],
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+ cache_examples=False,
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+ fn=process_stream,
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+ outputs=output_7b,
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+ )
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+ with gr.Row():
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+ gr.Markdown(
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+ "Disclaimer: MPT-7B can produce factually incorrect output, and should not be relied on to produce "
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+ "factually accurate information. MPT-7B was trained on various public datasets; while great efforts "
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+ "have been taken to clean the pretraining data, it is possible that this model could generate lewd, "
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+ "biased, or otherwise offensive outputs.",
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+ elem_classes=["disclaimer"],
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+ )
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+ with gr.Row():
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+ gr.Markdown(
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+ "[Privacy policy](https://gist.github.com/samhavens/c29c68cdcd420a9aa0202d0839876dac)",
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+ elem_classes=["disclaimer"],
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+ )
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+
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+ submit.click(
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+ process_stream,
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+ inputs=[instruction, temperature, top_p, top_k, max_new_tokens,seed],
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+ outputs=output_7b,
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+ )
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+ instruction.submit(
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+ process_stream,
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+ inputs=[instruction, temperature, top_p, top_k, max_new_tokens,seed],
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+ outputs=output_7b,
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+ )
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+
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+ demo.queue(max_size=4, concurrency_count=1).launch(debug=True)
requirements.txt ADDED
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+ llm-rs==0.2.8
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+ gradio