metadata
license: llama4
library_name: mlx
base_model: deepcogito/cogito-v2-preview-llama-109B-MoE
tags:
- mlx
pipeline_tag: text-generation
cogito-v2-preview-llama-109B-MoE-q4-hi-mlx
This model cogito-v2-preview-llama-109B-MoE-q4-hi-mlx was converted to MLX format from deepcogito/cogito-v2-preview-llama-109B-MoE using mlx-lm version 0.26.1.
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("cogito-v2-preview-llama-109B-MoE-q4-hi-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)