byteshape/Qwen3.8-27B-GGUF
image-text-to-text model by byteshape
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.
This is a GGUF-quantized version of Qwen3.8-27B produced with ByteShape's ShapeLearn, which learns the optimal datatype per tensor to maintain high quality even at very low bitlengths. This release replaces our earlier ShapeLearn-Lite quantizations of Qwen3.8-27B. Every model here has been through our full multi-benchmark evaluation suite, covering math, coding, general knowledge, instruction following and agentic tool use in both thinking and instruct modes, scored against the BF16 baseline. To learn more about ShapeLearn and to see detailed benchmarks across GPUs, please visit our blog. If you have questions or want to share feedback, reach us on Reddit. Pick a model from the table below and click Get llama.cpp command to get a ready-to-run command with all the correct sampling parameters for this model. You can also copy the Model Tag from the table and use it directly: This is a vision capable model. llama.cpp auto-downloads the model and vision…
Read the full model card ↗ · Preview checked 2026-11-03T00:46:15.899Z
Inside the original model card — Document outline
- Qwen3.8-27B GGUF (ShapeLearn Quantized)
- Quick Start
- How to Pick a Model
- Speculative Decoding
- MTP: embedded, no extra download
- DFlash 2: external draft, fastest option
- Measured throughput
- Recommended Sampling Parameters
- Notes on quantization labels
Headings are captured from the source. Links open the publisher’s document, not a locally hosted copy.
Documentation belongs to its respective authors. Reported project/model license: apache-2.0. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.
Model overview
byteshape/Qwen3.8-27B-GGUF is a image-text-to-text model repository published by byteshape on Hugging Face. The source reports the transformers 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
- transformers
- Recent downloads (30 days)
- 2,012,230
- Cumulative likes
- 187
- Hugging Face trending score
- 2
- Reported safetensors parameters
- Not reported
- Architecture
- Not reported
- License
- apache-2.0
- Access
- Not gated by Hugging Face
- Created
- 2026-08-18T17:02:45.000Z
- Last modified
- 2026-09-18T16:06:20.000Z
Compatibility and lineage
Language coverage was not reported.
Reported base models: Qwen/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.
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-11-03T06:52:22.109Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.