---
license: other
license_name: mistral-ai-research-license
license_link: https://mistral.ai/licenses/MNPL-0.1.md
base_model:
- tacodevs/Behemoth-T1-123B
tags: [mistral, mistral-large, 123b, roleplay, nvfp4, fp4, w4a4, quantized, llm-compressor, compressed-tensors, blackwell]
---
# 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.