README.md

---
language:
- en
license: apache-2.0
tags:
- Qwen-3-14B
- instruct
- finetune
- reasoning
- hybrid-mode
- chatml
- function calling
- tool use
- json mode
- structured outputs
- atropos
- dataforge
- long context
- roleplaying
- chat
- mlx
base_model: NousResearch/Hermes-4-14B
library_name: mlx
widget:
- example_title: Hermes 4
  messages:
  - role: system
    content: You are Hermes 4, a capable, neutrally-aligned assistant. Prefer concise,
      correct answers.
  - role: user
    content: Explain the difference between BFS and DFS to a new CS student.
pipeline_tag: text-generation
model-index:
- name: Hermes-4-Qwen-3-14B
  results: []
---

# mlx-community/Hermes-4-14B-5bit

This model [mlx-community/Hermes-4-14B-5bit](https://huggingface.co/mlx-community/Hermes-4-14B-5bit) was
converted to MLX format from [NousResearch/Hermes-4-14B](https://huggingface.co/NousResearch/Hermes-4-14B)
using mlx-lm version **0.27.0**.

## Use with mlx

```bash
pip install mlx-lm
```

```python
from mlx_lm import load, generate

model, tokenizer = load("mlx-community/Hermes-4-14B-5bit")

prompt = "hello"

if tokenizer.chat_template is not None:
    messages = [{"role": "user", "content": prompt}]
    prompt = tokenizer.apply_chat_template(
        messages, add_generation_prompt=True
    )

response = generate(model, tokenizer, prompt=prompt, verbose=True)
```