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nightmedia/JanusCoder-8B-DeepSeek-Speciale-qx86-hi-mlx
JanusCoder-8B-DeepSeek-Speciale-qx86-hi-mlx is a text generation model from nightmedia. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as apache-2.0.
This model is a merge of - unsloth/JanusCoder-8B - TeichAI/Qwen3-8B-DeepSeek-v3.2-Speciale-Distill
Downloads · 30 days
23
2% of all-time downloads
All-time downloads
976
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8.2B
7.8 GB on disk
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.safetensors7.7 GB · 100%
How the weights are stored.
U328.2B · 100%
From the Hugging Face model README
This model is a merge of
Brainwaves
arc arc/e boolq hswag obkqa piqa wino
qx86-hi 0.530,0.724,0.846,0.712,0.422,0.786,0.661
Janus 0.537,0.731,0.862,0.697,0.446,0.782,0.667
Element6 0.530,0.724,0.846,0.712,0.422,0.786,0.661
Perplexity
qx86-hi 4.361 ± 0.032
qx64-hi 4.492 ± 0.033
-G
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("JanusCoder-8B-DeepSeek-Speciale-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)