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---
license: apache-2.0
datasets:
- cerebras/SlimPajama-627B
- bigcode/starcoderdata
- HuggingFaceH4/ultrachat_200k
- HuggingFaceH4/ultrafeedback_binarized
language:
- en
widget:
- example_title: Fibonacci (Python)
messages:
- role: system
content: You are a chatbot who can help code!
- role: user
content: Write me a function to calculate the first 10 digits of the fibonacci
sequence in Python and print it out to the CLI.
tags:
- mlx
base_model: TinyLlama/TinyLlama-1.1B-Chat-v1.0
---
# mlx-community-staging/TinyLlama-1.1B-Chat-v1.0-mlx-4Bit
The Model [mlx-community-staging/TinyLlama-1.1B-Chat-v1.0-mlx-4Bit](https://huggingface.co/mlx-community-staging/TinyLlama-1.1B-Chat-v1.0-mlx-4Bit) 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 **0.24.1**.
## Use with mlx
```bash
pip install mlx-lm
```
```python
from mlx_lm import load, generate
model, tokenizer = load("mlx-community-staging/TinyLlama-1.1B-Chat-v1.0-mlx-4Bit")
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)
```