ukisai/Swift-1.5-Qwen3.8-27B-GGUF
image-text-to-text model by ukisai
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Model card & documentation
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GGUF quantizations. Derived directly from Swift 1.5 with llama.cpp. Run a chosen quantization tier with a current llama.cpp-compatible runtime such as llama-server. Swift 1.5 Qwen3.8-27B is UkisAI's reasoning-efficient derivative of Qwen3.8-27B. It uses 58.5% fewer thinking tokens while scoring 0.35% higher than the base, for a 9.18× speed-up on several tasks. Swift 1.5 is a direct upgrade from Swift 1.0, our model with 350k+ downloads, delivering stronger overall performance than both base and Swift 1.0 in various tasks, especially coding and agentic, while using fewer thinking tokens. We accomplished that by scaling up the post-training (RL and OPD) from the previous version. We gave base Qwen3.8-27B and Swift 1.5 27B the same prompt: Try the game yourself here: https://ukisai.com/swift-games/27b Base Qwen3.8-27B took 104.6 minutes to build its game. Swift 1.5 took 11.39 minutes. We made Swift efficient by figuring out which tokens were linked to pathological overthinking and penalizing them…
Read the full model card ↗ · Preview checked 2026-11-10T19:14:34.491Z
Inside the original model card — Document outline
- Swift 1.5 Qwen3.8-27B
- Demo
- Training approach
- Evaluation
- Efficiency across reasoning efforts
- Quantized Swift 1.5 models
- GGUF quantizations
- License and access
- Citation
- Acknowledgements
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Model overview
ukisai/Swift-1.5-Qwen3.8-27B-GGUF is a image-text-to-text 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
- image-text-to-text
- Library
- gguf
- Recent downloads (30 days)
- 161,215
- Cumulative likes
- 161
- Hugging Face trending score
- 51
- Reported safetensors parameters
- Not reported
- Architecture
- Not reported
- License
- other
- Access
- Not gated by Hugging Face
- Created
- 2026-09-21T21:24:24.000Z
- Last modified
- 2026-10-01T12:53:24.000Z
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
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-10-06T06:38:55.388Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.