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Behemoth-T1-123B-NVFP4
tacodevs/Behemoth-T1-123B-NVFP4
Behemoth-T1-123B-NVFP4 is a machine learning model from tacodevs. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as other.
NVFP4 of tacodevs/Behemoth-T1-123B: FP4 (e2m1) weights and activations in groups of 16 with FP8 e4m3 scales (compressed-tensors nvfp4-pack-quantized, scheme NVFP4, static minmax activation scales). Built 2026-09-04 wi…
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From the Hugging Face model README
Behemoth-T1-123B — NVFP4 (FP4 weights + FP4 activations, Blackwell)
NVFP4 of tacodevs/Behemoth-T1-123B: FP4 (e2m1) weights and activations in groups of 16 with FP8 e4m3 scales
(compressed-tensors nvfp4-pack-quantized, scheme NVFP4, static minmax activation scales). Built 2026-09-04 with
llm-compressor 0.13.0 (QuantizationModifier, RTN + calibrated scales, no GPTQ), 128 character-card roleplay
conversations (Gryphe/Sonnet3.5-Charcard-Roleplay, 8192 max tokens).
Target hardware: Blackwell (SM100/SM120 — B200, RTX PRO 6000) where vLLM uses native FP4 tensor cores; on Hopper vLLM falls back to emulation (correct but not faster). Quality numbers (KL vs BF16) are recorded in the model card once measured.
- Type
- mistral
- License
- other
- Created
- Sep 4, 2026
- Updated
- Sep 4, 2026