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--- |
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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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- mlx |
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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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widget: |
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- text: '<|system|> |
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You are a chatbot who can help code!</s> |
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<|user|> |
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Write me a function to calculate the first 10 digits of the fibonacci sequence |
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in Python and print it out to the CLI.</s> |
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<|assistant|> |
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' |
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base_model: mlx-community/TinyLlama-1.1B-Chat-v1.0-mlx |
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--- |
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# jbeiroa/tinyllama-mlx-ft |
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The Model [jbeiroa/tinyllama-mlx-ft](https://huggingface.co/jbeiroa/tinyllama-mlx-ft) was |
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converted to MLX format from [mlx-community/TinyLlama-1.1B-Chat-v1.0-mlx](https://huggingface.co/mlx-community/TinyLlama-1.1B-Chat-v1.0-mlx) |
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using mlx-lm version **0.20.4**. |
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## Use with mlx |
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```bash |
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pip install mlx-lm |
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``` |
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```python |
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from mlx_lm import load, generate |
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model, tokenizer = load("jbeiroa/tinyllama-mlx-ft") |
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prompt="hello" |
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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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response = generate(model, tokenizer, prompt=prompt, verbose=True) |
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``` |
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