ukisai/Swift-1.5-Qwen3.8-27B-GSQ-RCO-GGUF
text-generation model by ukisai
From the publisher
Model card & documentation
Source previewRead the publisher’s intended use, setup instructions, evaluations and limitations. The original model card is the source of truth.
Website • Learn more • BF16 model • Standard GGUFs • Evaluation • Enterprise licensing Compact, mixed-precision GGUF quantizations of Swift 1.5 Qwen3.8-27B, with Swift-specific refinement using the per-tensor allocations from ISTA-DASLab's GSQ-RCO release. Swift 1.5 builds on Swift 1.0 through post-training focused on long-horizon, agentic and coding tasks, improving overall performance while using fewer thinking tokens. See the original model card for the model's training approach and benchmark results. Those model-level benchmarks are separate from the quantization measurements below. Swift 1.5 uses 58.5% fewer thinking tokens while scoring 0.35% higher than the base, for a 9.18× speed-up on several tasks. Each tier is a single GGUF file. Sizes are decimal GB; runtime memory also includes the context cache and compute buffers. Tier names denote mixed-precision allocation profiles, rather than a uniform type for every tensor. The optional -mtp files retain the matching refined model tensors and add the MTP…
Read the full model card ↗ · Preview checked 2026-11-10T19:20:34.225Z
Inside the original model card — Document outline
- Swift 1.5 Qwen3.8-27B · GSQ-RCO
- Available quantizations
- Evaluation
- Usage
- Quantization procedure
- Methods and acknowledgements
- License and access
Headings are captured from the source. Links open the publisher’s document, not a locally hosted copy.
Links from the model card
References supplied by the publisher, not independently verified endorsements. Check the destination before downloading files or entering credentials.
Documentation belongs to its respective authors. Reported project/model license: other. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.
Model overview
ukisai/Swift-1.5-Qwen3.8-27B-GSQ-RCO-GGUF is a text-generation model repository published by ukisai on Hugging Face. The source reports the gguf library.
This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.
Model facts
- Task
- text-generation
- Library
- gguf
- Recent downloads (30 days)
- 1,604,076
- Cumulative likes
- 518
- Hugging Face trending score
- 21
- Reported safetensors parameters
- Not reported
- Architecture
- Not reported
- License
- other
- Access
- Not gated by Hugging Face
- Created
- 2026-09-24T13:13:45.000Z
- Last modified
- 2026-09-24T16:14:33.000Z
Compatibility and lineage
Language coverage was not reported.
Reported base models: ukisai/Swift-1.5-Qwen3.8-27b
Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.
Use and evaluate
Check license terms and access requirements first. Review the model card’s documented loading instructions, evaluations and safety limitations. Benchmark scores are not imported by this directory, and popularity is not an accuracy ranking.
No model weights are downloaded or executed by AltAPIs. Never enable remote model code without reviewing it.
Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-11-14T06:59:43.098Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.