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---
base_model: Tesslate/Synthia-S1-27b
library_name: transformers
tags:
- generated_from_trainer
- trl
- sft
- mlx
- mlx-my-repo
licence: license
license: gemma
---
# isetnefret/Synthia-S1-27b-mlx-8Bit
The Model [isetnefret/Synthia-S1-27b-mlx-8Bit](https://huggingface.co/isetnefret/Synthia-S1-27b-mlx-8Bit) was converted to MLX format from [Tesslate/Synthia-S1-27b](https://huggingface.co/Tesslate/Synthia-S1-27b) using mlx-lm version **0.22.3**.
## Use with mlx
```bash
pip install mlx-lm
```
```python
from mlx_lm import load, generate
model, tokenizer = load("isetnefret/Synthia-S1-27b-mlx-8Bit")
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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