Q3.6-35B-A3B-abliterated-0520-MAX-GGUF
Q3.6-35B-A3B-abliterated-0520-MAX is an abliterated evolution built on top of Qwen/Qwen3.6-35B-A3B. This model applies advanced refusal direction analysis and ablation-based training strategies to reduce internal refusal behaviors while preserving the reasoning and instruction-following strengths of the original architecture. The result is a powerful 35B parameter Mixture-of-Experts language model optimized for detailed responses and improved instruction adherence.
Model: https://huggingface.co/prithivMLmods/Q3.6-35B-A3B-abliterated-0520-MAX-STOR-check
This model is intended for research and learning purposes only. It reduces internal refusal behaviors, and any content generated by it is used at the user’s own risk. The authors and hosting page disclaim any liability for outputs produced by this model. Users are responsible for ensuring safe, ethical, and lawful usage.
Model Files
| File Name | Quant Type | File Size | File Link |
|---|---|---|---|
| Q3.6-35B-A3B-abliterated-0520-MAX.BF16.gguf | BF16 | 69.4 GB | Download |
| Q3.6-35B-A3B-abliterated-0520-MAX.F16.gguf | F16 | 69.4 GB | Download |
| Q3.6-35B-A3B-abliterated-0520-MAX.Q2_K.gguf | Q2_K | 12.9 GB | Download |
| Q3.6-35B-A3B-abliterated-0520-MAX.Q3_K_L.gguf | Q3_K_L | 18.1 GB | Download |
| Q3.6-35B-A3B-abliterated-0520-MAX.Q3_K_M.gguf | Q3_K_M | 16.8 GB | Download |
| Q3.6-35B-A3B-abliterated-0520-MAX.Q3_K_S.gguf | Q3_K_S | 15.2 GB | Download |
| Q3.6-35B-A3B-abliterated-0520-MAX.Q4_0.gguf | Q4_0 | 19.7 GB | Download |
| Q3.6-35B-A3B-abliterated-0520-MAX.Q4_K_M.gguf | Q4_K_M | 21.2 GB | Download |
| Q3.6-35B-A3B-abliterated-0520-MAX.Q4_K_S.gguf | Q4_K_S | 19.9 GB | Download |
| Q3.6-35B-A3B-abliterated-0520-MAX.Q5_0.gguf | Q5_0 | 24 GB | Download |
| Q3.6-35B-A3B-abliterated-0520-MAX.Q5_K_M.gguf | Q5_K_M | 24.7 GB | Download |
| Q3.6-35B-A3B-abliterated-0520-MAX.Q5_K_S.gguf | Q5_K_S | 24 GB | Download |
| Q3.6-35B-A3B-abliterated-0520-MAX.Q6_K.gguf | Q6_K | 28.5 GB | Download |
| Q3.6-35B-A3B-abliterated-0520-MAX.Q8_0.gguf | Q8_0 | 36.9 GB | Download |
| Q3.6-35B-A3B-abliterated-0520-MAX.mmproj-bf16.gguf | mmproj-bf16 | 903 MB | Download |
| Q3.6-35B-A3B-abliterated-0520-MAX.mmproj-f16.gguf | mmproj-f16 | 903 MB | Download |
| Q3.6-35B-A3B-abliterated-0520-MAX.mmproj-q8_0.gguf | mmproj-q8_0 | 614 MB | Download |
Quants Usage
(sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants)
Here is a handy graph by ikawrakow comparing some lower-quality quant types (lower is better):
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Model tree for prithivMLmods/Q3.6-35B-A3B-abliterated-0520-MAX-GGUF
Base model
Qwen/Qwen3.6-35B-A3B