README.md

metadata

datasets:
  - Rombo-Org/Optimized_Reasoning
base_model:
  - PrimeIntellect/INTELLECT-3
license: mit

INTELLECT-3-nvfp4

Format: NVFP4 — weights & activations quantized to FP4 with dual scaling.
Base model: PrimeIntellect/INTELLECT-3
How it was made: One-shot calibration with LLM Compressor (NVFP4 recipe), long-seq calibration with Rombo-Org/Optimized_Reasoning.

Notes: Keep lm_head in high precision; calibrate on long, domain-relevant sequences.

Check the original model card for information about this model.

Running the model with VLLM in Docker

sudo docker run --runtime nvidia --gpus all -p 8000:8000 --ipc=host -e VLLM_USE_FLASHINFER_MOE_FP4=1 vllm/vllm-openai:latest --model Firworks/INTELLECT-3-nvfp4 --dtype auto --max-model-len 32768

If there are other models you're interested in seeing quantized to NVFP4 for use on the DGX Spark, or other modern Blackwell (or newer) cards let me know. I'm trying to make more NVFP4 models available to allow more people to try them out.