Swift-1.5-Qwen3.8-27B-heretic-GSQ-RCO
from ukisai/Swift-1.5-Qwen3.8-27b
Swift-1.5-Qwen3.8-27B-Uncensored is a abliterated and uncensored variant of ukisai/Swift-1.5-Qwen3.8-27b, published on Hugging Face by ajgazin. It is 27B parameters, 48GB VRAM class class and other licence. It is distributed across 13 repositories in GGUF, GGUF (imatrix), EXL3 and Transformers formats, totalling 26.7K downloads.
How Swift-1.5-Qwen3.8-27B-Uncensored was modified, and what that implies.
Abliteration + uncensored fine-tune
Directional ablation combined with additional fine-tuning on unfiltered data, so behaviour diverges from the base model beyond refusal removal alone.
Reported scope: Not stated by the publisher. Publishers frequently omit this, so verify behaviour empirically rather than assuming full coverage.
From the publisher’s model card
“reasoning-efficient fine-tune of Qwen3.8-27B. It applies the single-direction refusal ablation of orcarouter/Qwen3.8-27B-Uncensored (Arditi et al. 2024), with orcarouter's own direction, to Swift 1.5's weights. The vision tower is untouched and the MTP head is kept and edited consistently, so self-speculative decoding...”
Commands are templates — confirm the exact repository and quant file before use.
hf download mradermacher/Swift-1.5-Qwen3.8-27B-Uncensored-MTP-GGUF --local-dir ./swift-1.5-qwen3.8-27b-uncensored
llama-cli -m ./swift-1.5-qwen3.8-27b-uncensored/<file>.gguf -p "..."from transformers import AutoModelForCausalLM, AutoTokenizer
repo = "ajgazin/Swift-1.5-Qwen3.8-27B-Uncensored-MTP"
tok = AutoTokenizer.from_pretrained(repo)
model = AutoModelForCausalLM.from_pretrained(
repo, torch_dtype="auto", device_map="auto"
)vllm serve ajgazin/Swift-1.5-Qwen3.8-27B-Uncensored-MTP --trust-remote-codeEvery published repository of Swift-1.5-Qwen3.8-27B-Uncensored, including quantised re-releases by other authors.
| Repository | Format | Downloads |
|---|---|---|
| ajgazin/Swift-1.5-Qwen3.8-27B-Uncensored-NVFP4 | NVFP4 | 17.8K |
| mradermacher/Swift-1.5-Qwen3.8-27B-Uncensored-MTP-GGUF | GGUF | 2.3K |
| mradermacher/Swift-1.5-Qwen3.8-27B-Uncensored-MTP-i1-GGUF | GGUF (imatrix) | 1.7K |
| mradermacher/Swift-1.5-Qwen3.8-27B-Uncensored-BF16-GGUF | GGUF | 1.3K |
| ajgazin/Swift-1.5-Qwen3.8-27B-Uncensored-MTPsource | Transformers | 1.2K |
| mradermacher/Swift-1.5-Qwen3.8-27B-Uncensored-BF16-i1-GGUF | GGUF (imatrix) | 864 |
| d0xin/Swift-1.5-Qwen3.8-27B-Uncensored-FP8 | FP8 | 580 |
| tiktits/Swift-1.5-Qwen3.8-27B-Uncensored-EXL3-3.75bpw | EXL3 | 364 |
| sam33339999/Swift-1.5-Qwen3.8-27b-Uncensored-exl3-3.5bpw | EXL3 | 253 |
| d0xin/Swift-1.5-Qwen3.8-27B-Uncensored-BF16 | Full precision | 218 |
| TendieLabs/Swift-1.5-Qwen3.8-27B-Uncensored-EXL3-6.0bpw | EXL3 | 90 |
| pierpaolo/Swift-1.5-Qwen3.8-27B-NVFP4-Uncensored-MTP-GGUF | GGUF | 69 |
Derived from this model’s metadata and the publisher’s claims — not from benchmarks run by this site.
Handling: run it isolated, put moderation in front of it if anyone outside your team can reach it, and verify the weights before loading — these are third-party artifacts. Full handling and licence guidance.
Metadata for Swift-1.5-Qwen3.8-27B-Uncensored is collected from the public Hugging Face API and the publisher’s model card. This site does not host weights, is not affiliated with ajgazin, and does not independently verify publisher claims. See responsible use.