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MiniMax-M3-NVFP4

Text Generation
Safetensors
minimax_m3_vl
nvidia
ModelOpt
MiniMax-M3
quantized
NVFP4
nvfp4
conversational
custom_code
8-bit precision
modelopt
Model card Files
xet
 Community
6
MiniMax-M3-NVFP4

Commit History

  1. Updated Readme, no need of PR since base nightly works on Blackwell pretty well⁠

    crazymartian
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    8a177e4

  1. Add benchmarking parameters (T=1.0, top_p=0.95, max num tokens 65536) and MXFP8 baseline note to Evaluation section

    cvoegele-nv
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    197d946

  1. refactor: rename shards to model-NNNNN-of-00088 convention; update index weight_map

    zhiyucheng
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    266e9c6

  2. Remove M3 Coding and Agentic Benchmark Results (BF16 baseline) table

    cvoegele-nv
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  3. Copy vocab.json from nvidia/MiniMax-M3-NVFP4-Preview0615

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  4. Copy video_processor.py from nvidia/MiniMax-M3-NVFP4-Preview0615

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  5. Copy tokenizer_config.json from nvidia/MiniMax-M3-NVFP4-Preview0615

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  6. Copy tokenizer.json from nvidia/MiniMax-M3-NVFP4-Preview0615

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  7. Copy special_tokens_map.json from nvidia/MiniMax-M3-NVFP4-Preview0615

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  8. Copy processing_minimax.py from nvidia/MiniMax-M3-NVFP4-Preview0615

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  9. Copy preprocessor_config.json from nvidia/MiniMax-M3-NVFP4-Preview0615

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  10. Copy model.safetensors.index.json from nvidia/MiniMax-M3-NVFP4-Preview0615

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  11. Copy merges.txt from nvidia/MiniMax-M3-NVFP4-Preview0615

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  12. Copy image_processor.py from nvidia/MiniMax-M3-NVFP4-Preview0615

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  13. Copy hf_quant_config.json from nvidia/MiniMax-M3-NVFP4-Preview0615

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  14. Copy generation_config.json from nvidia/MiniMax-M3-NVFP4-Preview0615

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  15. Copy experts-layer-059.safetensors from nvidia/MiniMax-M3-NVFP4-Preview0615

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  33. docs: note vLLM nightly + PR #46380 required for MiniMax-M3 NVFP4 serving

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