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- 8a4053f2cbb6568f6e0ff00afe265501239a634ca1cfbcde0de909683a1c1af1 (614ea17b4d7819caf64705dc54963d0fc32440b9)

README.md ADDED
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+ ---
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+ base_model: TinyLlama/TinyLlama-1.1B-Chat-v1.0
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+ datasets:
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+ - cerebras/SlimPajama-627B
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+ - bigcode/starcoderdata
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+ - HuggingFaceH4/ultrachat_200k
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+ - HuggingFaceH4/ultrafeedback_binarized
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+ language:
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+ - en
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+ license: apache-2.0
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+ tags:
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+ - mlx
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+ widget:
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+ - example_title: Fibonacci (Python)
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+ messages:
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+ - role: system
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+ content: You are a chatbot who can help code!
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+ - role: user
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+ content: Write me a function to calculate the first 10 digits of the fibonacci
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+ sequence in Python and print it out to the CLI.
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+ ---
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+
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+ # reach-vb/test-mlx-repo
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+
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+ The Model [reach-vb/test-mlx-repo](https://huggingface.co/reach-vb/test-mlx-repo) was converted to MLX format from [TinyLlama/TinyLlama-1.1B-Chat-v1.0](https://huggingface.co/TinyLlama/TinyLlama-1.1B-Chat-v1.0) using mlx-lm version **0.19.0**.
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+
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+ ## Use with mlx
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+
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+ ```bash
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+ pip install mlx-lm
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+ ```
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+
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+ ```python
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+ from mlx_lm import load, generate
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+
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+ model, tokenizer = load("reach-vb/test-mlx-repo")
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+
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+ prompt="hello"
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+
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+ if hasattr(tokenizer, "apply_chat_template") and tokenizer.chat_template is not None:
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+ messages = [{"role": "user", "content": prompt}]
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+ prompt = tokenizer.apply_chat_template(
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+ messages, tokenize=False, add_generation_prompt=True
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+ )
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+
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+ response = generate(model, tokenizer, prompt=prompt, verbose=True)
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+ ```
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