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---
library_name: transformers
language:
- bn
- en
- gu
- hi
- kn
- ml
- mr
- or
- pa
- ta
- te
base_model: sarvamai/sarvam-1
tags:
- mlx
---
# mlx-community/sarvam-1-4bit
The Model [mlx-community/sarvam-1-4bit](https://huggingface.co/mlx-community/sarvam-1-4bit) was converted to MLX format from [sarvamai/sarvam-1](https://huggingface.co/sarvamai/sarvam-1) using mlx-lm version **0.19.1**.
## Use with mlx
```bash
pip install mlx-lm
```
```python
from mlx_lm import load, generate
model, tokenizer = load("mlx-community/sarvam-1-4bit")
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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