6chan / BitDance-14B-16x-fp8-e4m3fn

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Model's Last Updated: February 22 2026

Introduction of BitDance-14B-16x-fp8-e4m3fn

Model Details of BitDance-14B-16x-fp8-e4m3fn

BitDance-14B-16x-fp8-e4m3fn

FP8 (E4M3FN) 量化版本,基于 shallowdream204/BitDance-14B-16x

量化信息
项目 值
量化格式 FP8 e4m3fn (torch.float8_e4m3fn)
量化方法 Per-tensor absmax,缩放因子单独保存
最大可表示值 448.0
LLM 未量化层 embed_tokens, lm_head, norm(保留 bfloat16)
原始仓库 shallowdream204/BitDance-14B-16x
转换时间 2026-02-20
文件结构

llm/ model-00001-of-00008.safetensors <- fp8 权重分片 1 scales-00001-of-00008.safetensors <- 对应缩放因子 ... model-00008-of-00008.safetensors scales-00008-of-00008.safetensors model.safetensors.index.json ae_fp8_e4m3fn.safetensors projector_fp8_e4m3fn.safetensors vision_head_fp8_e4m3fn.safetensors config.json ae_config.json vision_head_config.json tokenizer.json (+ tokenizer_config.json 等) quantization_config.json README.md

反量化推理示例

加载 fp8 权重后,需结合对应 scales 文件还原:

scale = scales_dict[key + '.scale']   # float32
weight_fp32 = fp8_tensor.to(torch.float32) / scale
注意事项
  • 此版本用于研究/推理加速,不建议用于微调
  • embed_tokens / lm_head / norm 已保留 bfloat16 精度
  • 原始模型来自 shallowdream204/BitDance-14B-16x,使用请遵守原始许可证

Runs of 6chan BitDance-14B-16x-fp8-e4m3fn on huggingface.co

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3-day runs
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