| language: | |
| - en | |
| license: apache-2.0 | |
| tags: | |
| - mlx | |
| - mlx | |
| datasets: | |
| - cerebras/SlimPajama-627B | |
| - bigcode/starcoderdata | |
| - HuggingFaceH4/ultrachat_200k | |
| - HuggingFaceH4/ultrafeedback_binarized | |
| widget: | |
| - text: '<|system|> | |
| You are a chatbot who can help code!</s> | |
| <|user|> | |
| Write me a function to calculate the first 10 digits of the fibonacci sequence | |
| in Python and print it out to the CLI.</s> | |
| <|assistant|> | |
| ' | |
| base_model: mlx-community/TinyLlama-1.1B-Chat-v1.0-mlx | |
| # jbeiroa/tinyllama-mlx-ft | |
| The Model [jbeiroa/tinyllama-mlx-ft](https://huggingface.co/jbeiroa/tinyllama-mlx-ft) was | |
| 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) | |
| using mlx-lm version **0.20.4**. | |
| ## Use with mlx | |
| ```bash | |
| pip install mlx-lm | |
| ``` | |
| ```python | |
| from mlx_lm import load, generate | |
| model, tokenizer = load("jbeiroa/tinyllama-mlx-ft") | |
| prompt="hello" | |
| if hasattr(tokenizer, "apply_chat_template") and tokenizer.chat_template is not None: | |
| messages = [{"role": "user", "content": prompt}] | |
| prompt = tokenizer.apply_chat_template( | |
| messages, tokenize=False, add_generation_prompt=True | |
| ) | |
| response = generate(model, tokenizer, prompt=prompt, verbose=True) | |
| ``` | |