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)