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
---
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
---

# 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"
```
