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---
language:
- en
tags:
- Llama-3
- instruct
- finetune
- chatml
- DPO
- RLHF
- gpt4
- synthetic data
- distillation
- function calling
- json mode
- axolotl
- merges
- mlx
datasets:
- teknium/OpenHermes-2.5
base_model: NousResearch/Hermes-2-Pro-Llama-3-8B
widget:
- example_title: Hermes 2 Pro Llama-3 Instruct Merge
messages:
- role: system
content: You are a sentient, superintelligent artificial general intelligence,
here to teach and assist me.
- role: user
content: Write a short story about Goku discovering kirby has teamed up with Majin
Buu to destroy the world.
model-index:
- name: Hermes-2-Pro-Llama-3-Instruct-8B-Merge
results: []
---
# typealias/Hermes-2-Theta-Llama-3-8B-mlx-4bit
The Model [typealias/Hermes-2-Theta-Llama-3-8B-mlx-4bit](https://huggingface.co/typealias/Hermes-2-Theta-Llama-3-8B-mlx-4bit) was converted to MLX format from [NousResearch/Hermes-2-Theta-Llama-3-8B](https://huggingface.co/NousResearch/Hermes-2-Theta-Llama-3-8B) using mlx-lm version **0.13.0**.
## Use with mlx
```bash
pip install mlx-lm
```
```python
from mlx_lm import load, generate
model, tokenizer = load("typealias/Hermes-2-Theta-Llama-3-8B-mlx-4bit")
response = generate(model, tokenizer, prompt="hello", verbose=True)
```
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