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metadata
library_name: transformers
license: cc-by-4.0
language:
  - en
  - fr
  - de
  - it
  - pt
  - es
pipeline_tag: text-generation
base_model: kyutai/helium-1-preview-2b
tags:
  - mlx

mlx-community/helium-1-preview-2b-float32

The Model mlx-community/helium-1-preview-2b-float32 was converted to MLX format from kyutai/helium-1-preview-2b using mlx-lm version 0.21.0.

Use with mlx

pip install mlx-lm
from mlx_lm import load, generate

model, tokenizer = load("mlx-community/helium-1-preview-2b-float32")

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)