---
library_name: transformers
license: gpl-3.0
language:
- as
- bn
- brx
- doi
- gom
- gu
- en
- hi
- kn
- ks
- mai
- ml
- mni
- mr
- ne
- or
- pa
- sa
- sat
- sd
- ta
- te
- ur
base_model: sarvamai/sarvam-translate
base_model_relation: finetune
pipeline_tag: translation
tags:
- mlx
---

# mlx-community/sarvam-translate-mlx-bf16

The Model [mlx-community/sarvam-translate-mlx-bf16](https://huggingface.co/mlx-community/sarvam-translate-mlx-bf16) was converted to MLX format from [sarvamai/sarvam-translate](https://huggingface.co/sarvamai/sarvam-translate) 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("bibproj/sarvam-translate-mlx-fp16")

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)
```