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Qwen3.8-27b-Q8-Logits-for-kld
MaxDevv/Qwen3.8-27b-Q8-Logits-for-kld
Qwen3.8-27b-Q8-Logits-for-kld is a machine learning model from MaxDevv. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
Gold Q80 reference logits for Qwen3.8-27B, generated with llama-perplexity --save-all-logits on the hy3 calibration corpus.
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Updated Aug 17, 2026
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3 GB
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.logits3 GB · 100%
At a glance
- Access
- Public
- Created
- Aug 17, 2026
- Updated
- Aug 17, 2026
- SHA
- 143e2a37
Model card
From the Hugging Face model README
Qwen3.8-27B Q8_0 Reference Logits for KLD
Gold Q8_0 reference logits for Qwen3.8-27B, generated with llama-perplexity --save-all-logits on the hy3 calibration corpus.
- Model: unsloth/Qwen3.8-27B-GGUF Qwen3.8-27B-Q8_0.gguf (29.05 GB)
- Corpus: 20 random samples from canada-quant/hy3-w4a16-mtp-calibration (seed 1337), 512-token windows
- Q8_0 PPL on hy3 corpus: 3.9616 +/- 0.131
- Generated with llama.cpp b10470 llama-perplexity (CPU, 48 threads, kvarn3 KV cache)
- Usage: llama-perplexity -m <quant.gguf> -f hy3_corpus.txt -c 512 --kl-divergence --kl-divergence-base ref_q8.logits
Files:
- ref_q8.logits - per-token logits (float32)
- hy3_corpus.txt - the exact corpus used
- Created
- Aug 17, 2026
- Updated
- Aug 17, 2026