File size: 1,054 Bytes
6d20564 |
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 |
---
base_model: princeton-nlp/gemma-2-9b-it-SimPO
tags:
- alignment-handbook
- generated_from_trainer
- mlx
datasets:
- princeton-nlp/gemma2-ultrafeedback-armorm
license: mit
pipeline_tag: text-generation
library_name: mlx
model-index:
- name: princeton-nlp/gemma-2-9b-it-SimPO
results: []
---
# mlx-community/gemma-2-9b-it-SimPO-8bit
This model [mlx-community/gemma-2-9b-it-SimPO-8bit](https://huggingface.co/mlx-community/gemma-2-9b-it-SimPO-8bit) was
converted to MLX format from [princeton-nlp/gemma-2-9b-it-SimPO](https://huggingface.co/princeton-nlp/gemma-2-9b-it-SimPO)
using mlx-lm version **0.26.0**.
## Use with mlx
```bash
pip install mlx-lm
```
```python
from mlx_lm import load, generate
model, tokenizer = load("mlx-community/gemma-2-9b-it-SimPO-8bit")
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)
```
|