metadata
license: apache-2.0
datasets:
- PrimeIntellect/Intellect-2-RL-Dataset
base_model: PrimeIntellect/INTELLECT-2
library_name: mlx
pipeline_tag: text-generation
tags:
- mlx
leonsarmiento/INTELLECT-2-8bit-mlx
This model leonsarmiento/INTELLECT-2-8bit-mlx was converted to MLX format from PrimeIntellect/INTELLECT-2 using mlx-lm version 0.28.3.
Recommended Parameters:
Temperature: 0.6 Top K: 30 Repeat penalty: 1.1 Min P sampling: 0 Top P sampling: 0.95
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("leonsarmiento/INTELLECT-2-8bit-mlx")
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)