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---
language:
- en
license: llama3
tags:
- Llama-3
- instruct
- finetune
- chatml
- gpt4
- synthetic data
- distillation
- function calling
- json mode
- axolotl
- roleplaying
- chat
- mlx
base_model: NousResearch/Hermes-3-Llama-3.2-3B
widget:
- example_title: Hermes 3
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.
library_name: transformers
model-index:
- name: Hermes-3-Llama-3.1-405B
results: []
---
# mlx-community/Hermes-3-Llama-3.2-3B-bf16
The Model [mlx-community/Hermes-3-Llama-3.2-3B-bf16](https://huggingface.co/mlx-community/Hermes-3-Llama-3.2-3B-bf16) was
converted to MLX format from [NousResearch/Hermes-3-Llama-3.2-3B](https://huggingface.co/NousResearch/Hermes-3-Llama-3.2-3B)
using mlx-lm version **0.20.3**.
## Use with mlx
```bash
pip install mlx-lm
```
```python
from mlx_lm import load, generate
model, tokenizer = load("mlx-community/Hermes-3-Llama-3.2-3B-bf16")
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)
```
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