Dataset · Hugging Face

gostar77/qwen3.8-flash-next-radiance-q5-w5dn64-grams

Name: qwen3.8-flash-next-radiance-q5-w5dn64-grams
Creator: gostar77
License: other
Keywords: license:other, size_categories:n<1K, format:json, modality:tabular, modality:text, library:datasets, library:pandas, library:polars, library:mlcroissant, region:us, radiance, radgram2, calibration, gptq, mixture-of-experts

Qwen3.8-Flash-Next Radiance RADGRAM2 calibration Grams Checkpoint-specific RADGRAM2 calibration statistics for converting the original BF16 Qwen/Qwen3.8-Flash-Next checkpoint with Radiance's GPTQ converter. These are calibration Grams, not a fine-tune, adapter, model checkpoint, or training dataset. They are intended for Radiance conversion recipes that use w4nl/w5nl expert quantization. Contents grams/part-00/, grams/part-01/, and grams/part-02/: all 24,768… See the full description on the dataset page: https://huggingface.co/datasets/gostar77/qwen3.8-flash-next-radiance-q5-w5dn64-grams.

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Author / organization	gostar77
License (as declared)	other
Downloads	0 (as reported by Hugging Face)
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Created	18 October 2026
Last updated at source	18 October 2026

radianceradgram2calibrationgptqmixture-of-experts

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18 Oct 2026 Description: Qwen3.8-Flash-Next Radiance RADGRAM2 calibration Grams Checkpoint-specific RADGRAM2 calibration statistics for converting the original BF16 Qwen/Qwen3.8-Flash-Next checkpoint with Radiance's GPTQ converter. These are calibration Grams, not → Qwen3.8-Flash-Next Radiance RADGRAM2 calibration Grams Checkpoint-specific RADGRAM2 calibration statistics for converting the original BF16 Qwen/Qwen3.8-Flash-Next checkpoint with Radiance's GPTQ converter. These are calibration Grams, not
18 Oct 2026 Description: none → Qwen3.8-Flash-Next Radiance RADGRAM2 calibration Grams Checkpoint-specific RADGRAM2 calibration statistics for converting the original BF16 Qwen/Qwen3.8-Flash-Next checkpoint with Radiance's GPTQ converter. These are calibration Grams, not
18 Oct 2026 Topics added radiance, radgram2, calibration, gptq, mixture-of-experts

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