license: apache-2.0
language:
- en
library_name: transformers
tags: - text-generation-inference
- uncensored
- abliterated
- unfiltered
- unredacted
- refusal-ablated
- llama.cpp
- pytorch
- bf16
- max
- alignment-modified
- reasoning
- agent
base_model: - prithivMLmods/Qwen3.6-27B-abliterated-rMAX
pipeline_tag: image-text-to-text
Qwen3.6-27B-abliterated-rMAX-GGUF
Qwen3.6-27B-Abliterated-rMAX is an abliterated evolution built on top of Qwen/Qwen3.6-27B. 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 27B parameter language model optimized for detailed responses and improved instruction adherence.
Model Files
| File Name | Quant Type | File Size | File Link |
|---|---|---|---|
| Qwen3.6-27B-abliterated-rMAX.BF16.gguf | BF16 | 53.8 GB | Download |
| Qwen3.6-27B-abliterated-rMAX.F16.gguf | F16 | 53.8 GB | Download |
| Qwen3.6-27B-abliterated-rMAX.F32.gguf | F32 | 108 GB | Download |
| Qwen3.6-27B-abliterated-rMAX.Q8_0.gguf | Q8_0 | 28.6 GB | Download |
| Qwen3.6-27B-abliterated-rMAX.mmproj-bf16.gguf | mmproj-bf16 | 931 MB | Download |
| Qwen3.6-27B-abliterated-rMAX.mmproj-f16.gguf | mmproj-f16 | 931 MB | Download |
| Qwen3.6-27B-abliterated-rMAX.mmproj-f32.gguf | mmproj-f32 | 1.84 GB | Download |
| Qwen3.6-27B-abliterated-rMAX.mmproj-q8_0.gguf | mmproj-q8_0 | 629 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):
