DavidAU / Model details

Qwen3.5-9B-Cold-Fusion-GAIN-v1.0-Uncensored-Heretic-NEO-MAX-Imatrix-GGUF

DavidAU/Qwen3.5-9B-Cold-Fusion-GAIN-v1.0-Uncensored-Heretic-NEO-MAX-Imatrix-GGUF

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About this model

DavidAU's repository packages a Cold Fusion/GAIN-tuned, Heretic-modified derivative of Qwen3.5-9B. The creator says the model was Heretic'ed before tuning, with moderate de-censoring intended to balance reduced refusals against performance; they also say some explicit-content requests may still require more direct prompting. GAIN is described as dynamically changing training on a per-sample basis in real time, while the package includes regular and multi-token-prediction GGUF quantizations using an importance matrix and a full-precision output tensor. According to the model card, the creator claims improved clarity, detail, visual rendering, and context handling, but these quality claims have not been independently tested here. The metadata lists the GGUF format and apache-2.0 license; vision use requires a separate mmproj file.

Description sources

https://huggingface.co/DavidAU/Qwen3.5-9B-Cold-Fusion-GAIN-v1.0-Uncensored-Heretic-NEO-MAX-Imatrix-GGUF/raw/6fa332ea8f3b66fb48948e634a55cdd090345467/README.md ↗

Source-based description, not an independent evaluation. Check the linked sources for the creator’s claims and limitations.

Size and formats

Base model: Unknown
Parameters: Unknown
Main repository formats: GGUF
License tag: apache-2.0
Languages: en, zh
Last updated: 2026-09-16 · 23:51:15.000 UTC

What changed

Model types are creator-reported, not independently tested. These labels describe source metadata, not a guarantee of behavior.

abliteratedsource tag: abliterated
uncensoredsource tag: uncensored
uncensoredmodel name: Qwen3.5-9B-Cold-Fusion-GAIN-v1.0-Uncensored-Heretic-NEO-MAX-Imatrix-GGUF

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Available versions

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Main repository files ↗GGUF
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Markdown

[Listed on Custom Clankers](https://customclankers.com/models/davidau-qwen3-5-9b-cold-fusion-gain-v1-0-uncensored-heretic-neo-max-imatrix-gguf/)

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Runs models locally and includes the tools behind most GGUF files. A conversion script turns Hugging Face weights into GGUF, and llama-quantize shrinks a high-precision GGUF to lower-bit formats, which can cost some accuracy.

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Source provenance

Downloads: 7,929
Likes: 37
Metadata checked: 2026-10-25 · 12:12:34 UTC
First seen in index: 2026-10-25 · 12:12:34 UTC
Source revision: 6fa332ea8f3b66fb48948e634a55cdd090345467

Source-card excerpt

Source model card excerpt: IMPORTANT: The GAIN method of training maintains 99% of performance of BF16, at both 8 bit and 4 bit levels. COLD FUSION exceeds performance

From DavidAU/Qwen3.5-9B-Cold-Fusion-GAIN-v1.0-Uncensored-Heretic-NEO-MAX-Imatrix-GGUF. Creator model-card excerpt, not an independent review.

Inspect before you run

Low refusal is not proof of correctness. Outputs can be inaccurate, harmful, or biased. Review the model card, license and files yourself. A license tag is not commercial-use advice. Parameter counts are source metadata; no hardware compatibility is implied.

This directory does not host or redistribute model weights. Refusal profiles are measured by us on a fixed prompt set; all other behavior claims are source-reported.

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