bottlecapai/ThinkingCap-Qwen3.8-27B-GGUF
image-text-to-text model by bottlecapai
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.
GGUF / llama.cpp quantizations of bottlecapai/ThinkingCap-Qwen3.8-27B — the ThinkingCap finetune of Qwen3.8-27B that cuts reasoning tokens by 37% on average while holding 85.8% average accuracy against the base model's 86.6%. ➡️ Full model description, evaluation results (multi-seed, statistically tested), the measured thinking-token reduction, recommended sampling params, and citation: see the main model card at bottlecapai/ThinkingCap-Qwen3.8-27B. GGUF is a single-file model format for running LLMs locally with llama.cpp and compatible runtimes (Ollama, LM Studio, …). The quantized variants below store weights at reduced precision — e.g. ≈5.1 bits per weight for Q4KM instead of the 16-bit f16 source — cutting download size and memory severalfold; the quality cost is measured under Expected performance. The low-bit files are built with an importance matrix (activation statistics from a chat-templated calibration corpus) and a per-tensor precision layout: the attention projections of the full-attention layers and the linear-attention output projections stay at 6–8 bit while…
Read the full model card ↗ · Preview checked 2026-11-14T21:12:12.825Z
Inside the original model card — Document outline
- bottlecapai/ThinkingCap-Qwen3.8-27B-GGUF
- About GGUF and quantization
- Files
- Usage (llama.cpp)
- Speculative decoding (MTP)
- Vision (image input)
- Expected performance
- Where to find us
- License
- Citation
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
bottlecapai/ThinkingCap-Qwen3.8-27B-GGUF is a image-text-to-text model repository published by bottlecapai 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)
- 894,401
- Cumulative likes
- 98
- Hugging Face trending score
- 1
- Reported safetensors parameters
- Not reported
- Architecture
- Not reported
- License
- other
- Access
- Not gated by Hugging Face
- Created
- 2026-09-23T15:56:55.000Z
- Last modified
- 2026-10-07T12:31:52.000Z
Compatibility and lineage
Language coverage was not reported.
Reported base models: bottlecapai/ThinkingCap-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 2026-11-14T06:59:45.906Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.