
# Llama-160M-Chat-v1-4bit-mlx
This model was converted to MLX format from [`Felladrin/Llama-160M-Chat-v1`](https://huggingface.co/Felladrin/Llama-160M-Chat-v1).
Refer to the [original model card](https://huggingface.co/Felladrin/Llama-160M-Chat-v1) for more details on the model.

## Use with mlx

```bash
pip install mlx
git clone https://github.com/ml-explore/mlx-examples.git
cd mlx-examples/llms/hf_llm
python generate.py --model mlx-community/Llama-160M-Chat-v1-4bit-mlx --prompt "<|im_start|>system\nYou are a helpful assistant who answers user's questions with details and curiosity.<|im_end|>\n<|im_start|>user\nWhat are some potential applications for quantum computing?<|im_end|>\n<|im_start|>assistant"
```

{"language": ["en"], "license": "apache-2.0", "tags": ["text-generation", "mlx", "4-bit"], "datasets": ["ehartford/wizard_vicuna_70k_unfiltered", "totally-not-an-llm/EverythingLM-data-V3", "Open-Orca/SlimOrca-Dedup", "databricks/databricks-dolly-15k", "THUDM/webglm-qa"], "base_model": "JackFram/llama-160m"}
mlx llama text-generation 4-bit conversational en dataset:ehartford/wizard_vicuna_70k_unfiltered dataset:totally-not-an-llm/EverythingLM-data-V3 dataset:Open-Orca/SlimOrca-Dedup dataset:databricks/databricks-dolly-15k dataset:THUDM/webglm-qa base_model:JackFram/llama-160m license:apache-2.0 region:us