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Qwythos-9B-v2-Heretic-MLX-4bit
WaveCut/Qwythos-9B-v2-Heretic-MLX-4bit
Qwythos-9B-v2-Heretic-MLX-4bit is a text generation model from WaveCut. Use it when you need the model to write or continue text. It is set up for mlx. The card lists the license as apache-2.0.
MLX 4-bit quantization of WaveCut/Qwythos-9B-v2-Heretic — the Heretic-decensored version of empero-ai/Qwythos-9B-v2. Built for Apple Silicon (M1/M2/M3/M4).
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5.1 GB on disk
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.safetensors5 GB · 100%
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How the weights are stored.
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Base models
Model card
From the Hugging Face model README
Qwythos-9B-v2-Heretic-MLX-4bit
MLX 4-bit quantization of WaveCut/Qwythos-9B-v2-Heretic — the Heretic-decensored version of empero-ai/Qwythos-9B-v2. Built for Apple Silicon (M1/M2/M3/M4).
Specs
| Field | Value |
|---|---|
| Bits/weight | 4.501 |
| File size | ~4.7 GB |
| Minimum RAM | ~6 GB unified memory |
Quantization
| Step | Tool | Version |
|---|---|---|
| Convert + quantize | mlx_lm.convert | mlx-lm 0.31.3 (mlx 0.31.x) |
| Quant mode | affine (default) | -q --q-bits 4 |
python -m mlx_lm.convert \
--hf-path WaveCut/Qwythos-9B-v2-Heretic \
-q --q-bits 4 \
--upload-repo WaveCut/Qwythos-9B-v2-Heretic-MLX-4bit
Usage
from mlx_lm import load, generate
model, tokenizer = load("WaveCut/Qwythos-9B-v2-Heretic-MLX-4bit")
response = generate(model, tokenizer, prompt="Hello", max_tokens=256)
print(response)
# CLI
mlx_lm.generate --model WaveCut/Qwythos-9B-v2-Heretic-MLX-4bit --prompt "Hello"
Architecture
Qwen3.5 hybrid — 32 blocks mixing attention and SSM (Mamba-style) layers. Supported in mlx-lm ≥ 0.31.0. Load with trust_remote_code=True only if your mlx-lm is older.
Disclaimer
Uncensored (safety alignment removed via Heretic). The original empero-ai/Qwythos-9B-v2 maintainers are not affiliated with this derivative. Use responsibly.
- Task
- Text Generation
- Library
- mlx
- Type
- qwen3_5
- License
- apache-2.0
- Languages
- en, ru
- Created
- Jul 13, 2026
- Updated
- Jul 13, 2026