metadata

library_name: mlx
license: apache-2.0
language:
  - en
  - bn
  - hi
  - kn
  - gu
  - mr
  - ml
  - or
  - pa
  - ta
  - te
base_model: sarvamai/sarvam-m
base_model_relation: finetune
tags:
  - mlx
pipeline_tag: text-generation

mlx-community/sarvam-m-bf16

This model mlx-community/sarvam-m-bf16 was converted to MLX format from sarvamai/sarvam-m using mlx-lm version 0.24.1.

Use with mlx

pip install mlx-lm

from mlx_lm import load, generate

model, tokenizer = load("mlx-community/sarvam-m-bf16")

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)