metadata
library_name: mlx
tags:
- prime-rl
- verifiers
- prime-intellect
- reinforcement-learning
- reasoning
- agentic
- mixture-of-experts
- mlx
license: mit
language:
- en
base_model: PrimeIntellect/INTELLECT-3
pipeline_tag: text-generation
mlx-community/INTELLECT-3-4bit
This model mlx-community/INTELLECT-3-4bit was converted to MLX format from PrimeIntellect/INTELLECT-3 using mlx-lm version 0.28.3.
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("mlx-community/INTELLECT-3-4bit")
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)