File size: 1,366 Bytes
2100d8b |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 |
---
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)
```
|