metadata
license: apache-2.0
tags:
- merge
- mergekit
- lazymergekit
- qwen3
- ZeroXClem
- hermes
- SkyHighHermes
- Heretic
- Abliterated
- HighReasoning
- Distilled
- Claude
- mlx
base_model: ZeroXClem/Qwen3-4B-Sky-High-Hermes
pipeline_tag: text-generation
library_name: mlx
Qwen3-4B-Sky-High-Hermes-qx86-hi-mlx
Brainwave: 0.430,0.490,0.710,0.608,0.372,0.733,0.627
That image on the model card... epic :)
This model Qwen3-4B-Sky-High-Hermes-qx86-hi-mlx was converted to MLX format from ZeroXClem/Qwen3-4B-Sky-High-Hermes using mlx-lm version 0.30.2.
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("Qwen3-4B-Sky-High-Hermes-qx86-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, return_dict=False,
)
response = generate(model, tokenizer, prompt=prompt, verbose=True)