Kujira / Model details
Swift-1.5-Qwen3.8-27B-CHiPS-Abliterated-GSQ-RCO-MTP-GGUF
Kujira/Swift-1.5-Qwen3.8-27B-CHiPS-Abliterated-GSQ-RCO-MTP-GGUF
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About this model
Swift-1.5-Qwen3.8-27B-CHiPS-Abliterated-GSQ-RCO-MTP-GGUF by Kujira is a text-generation repository with GGUF weights. Hugging Face metadata labels this release abliterated, fine-tuned. Listed base model: ukisai/Swift-1.5-Qwen3.8-27B-GSQ-RCO-GGUF. These are source-reported attributes, not independent performance or safety findings.
Description sources
Source-based description, not an independent evaluation. Check the linked sources for the creator’s claims and limitations.
Size and formats
- Base model
- ukisai/Swift-1.5-Qwen3.8-27B-GSQ-RCO-GGUF
- Parameters
- Unknown
- Main repository formats
- GGUF
- License tag
- other
- Languages
- Unknown
- Last updated
- 2026-11-04 · 08:59:09.000 UTC
Model announcements
Source-linked paraphrases of sampled community sources, not independently tested by this directory.
Sample window: to · 1 unique source link. This is a selected sample, not all community discussions.
Small sample: source links are not a count of independent reviewers or evidence of consensus.
Sources checked:
Announcements & promotions
Announcement
- The model creator notes that the model name has been aligned with common definitions, with a reference to RP.
Tested revision: Unknown · Quantization: Unknown
What changed
Model types are creator-reported, not independently tested. These labels describe source metadata, not a guarantee of behavior.
- abliteratedsource tag:
abliterated
- abliteratedmodel name:
Swift-1.5-Qwen3.8-27B-CHiPS-Abliterated-GSQ-RCO-MTP-GGUF
- fine-tunedsource tag:
base_model:finetune:ukisai/Swift-1.5-Qwen3.8-27B-GSQ-RCO-GGUF
Family evidence
These groupings are source-reported. Explicit base identifiers take priority over generic architecture tags.
- Qwen: Base model: ukisai/Swift-1.5-Qwen3.8-27B-GSQ-RCO-GGUF
Available versions
Versions appear here only when they explicitly name this exact model as their source. Check each repository for available files.
- Main repository files ↗GGUF
- No other explicitly linked versions recorded.
Link to this listing
Made or quantized this model? Paste one of these into your model card or README so people can find this listing.
Markdown
[Listed on Custom Clankers](https://customclankers.com/models/kujira-swift-1-5-qwen3-8-27b-chips-abliterated-gsq-rco-mtp-gguf/)HTML
<a href="https://customclankers.com/models/kujira-swift-1-5-qwen3-8-27b-chips-abliterated-gsq-rco-mtp-gguf/">Listed on Custom Clankers</a>Plain text links only: no image, no script, nothing loaded from this site.
Customize or build on this model
Listed from public GitHub data, not tested by us. Read the code and license before you run anything.
Tools to customize it further
Make a smaller download (quantize)
- llama.cpp ↗ ★ 133,274
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.
Learn the techniques
- LLM Course ↗ ★ 84,883
A free course with roadmaps and Colab notebooks. Its notebooks include one-click tools for merging with MergeKit, quantizing to GGUF, GPTQ, EXL2, AWQ and HQQ, and automatic abliteration with custom datasets.
Source provenance
- Downloads
- 316
- Likes
- 0
- Metadata checked
- 2026-11-04 · 09:41:25 UTC
- First seen in index
- 2026-11-03 · 16:22:43 UTC
- Source revision
- 0e87cbfe2b6948de83230399912afa02e72e9243
Source-card excerpt
Source model card excerpt: Swift 1.5 Qwen3.8-27B · CHiPS-Abliterated · GSQ-RCO Modified versions of UkisAI's IQ2 XS-mtp and IQ3 S-mtp files from Swift 1.5 Qwen3.8-27B GSQ-RCO, with refusal
From Kujira/Swift-1.5-Qwen3.8-27B-CHiPS-Abliterated-GSQ-RCO-MTP-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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