matchachoco/Qwen3.5-4B-QuantStudy-GGUF

AI model by matchachoco

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수식과 표로 읽는 실험 보고서 / Read the report · Code and evaluation evidence Qwen3.5-4B 전체 모델 양자화 비교에서 실제로 저장·재로딩·평가한 결과물입니다. These are the exact packed artifacts evaluated in the 2026-09-22 quantization study, not newly retuned checkpoints. Text-only GGUF; no vision projector is distributed. Tested with llama.cpp b10690 (bdf3955159d7184f44b76091973eeff532890a35). Q4K uses 32 weights per subblock and 256 per superblock. IQ4XS uses its own nonuniform encoding. K0 still uses llama.cpp fitting; it is not the RTN candidate. 같은 엔진의 BF16 기준과 비교합니다. NLL은 정답 토큰에 부여한 확률의 음의 로그 평균으로, 낮을수록 좋으며 정답률과는 다릅니다. For an exact immutable version, add --revision shown in the repository history. File hashes are in SHA256SUMS and ARTIFACT-MANIFEST.json. Example with the evaluated llama.cpp release: Choose another listed GGUF filename to compare another candidate. This is a convenience chat example; the study uses the…

matchachoco/Qwen3.5-4B-QuantStudy-GGUF on Hugging Face A short preview, not the full document.

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Model overview

matchachoco/Qwen3.5-4B-QuantStudy-GGUF is a task-unspecified model repository published by matchachoco on Hugging Face. A library was not reported.

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Task: Not reported
Library: Not reported
Recent downloads (30 days): 0
Cumulative likes: 0
Hugging Face trending score: 0
Reported safetensors parameters: Not reported
Architecture: Not reported
License: Not reported — check the model card
Access: Not gated by Hugging Face
Created: 2026-09-22T06:16:42.000Z
Last modified: 2026-09-22T06:16:42.000Z

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Source: Hugging Face Hub. Metadata observed 2026-09-22T06:37:17.952Z. Daily imports are snapshots, not real-time monitoring.

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