metadata
base_model: Daemontatox/Zirel-3
tags:
- text-generation-inference
- transformers
- unsloth
- glm4_moe
- pruning
- REAP
- MOE
- glm
- zirel
- mlx
- mlx-my-repo
license: apache-2.0
language:
- en
library_name: transformers
saviochow/Zirel-3-mlx-6Bit
The Model saviochow/Zirel-3-mlx-6Bit was converted to MLX format from Daemontatox/Zirel-3 using mlx-lm version 0.26.4.
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("saviochow/Zirel-3-mlx-6Bit")
prompt="hello"
if hasattr(tokenizer, "apply_chat_template") and tokenizer.chat_template is not None:
messages = [{"role": "user", "content": prompt}]
prompt = tokenizer.apply_chat_template(
messages, tokenize=False, add_generation_prompt=True
)
response = generate(model, tokenizer, prompt=prompt, verbose=True)