File size: 1,126 Bytes
bb6a6ec 1231763 bb6a6ec 1231763 bb6a6ec 1231763 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 |
---
datasets:
- Rombo-Org/Optimized_Reasoning
base_model:
- CohereLabs/command-a-reasoning-08-2025
license: cc-by-nc-4.0
---
# command-a-reasoning-08-2025-nvfp4
**Format:** NVFP4 — weights & activations quantized to FP4 with dual scaling.
**Base model:** `CohereLabs/command-a-reasoning-08-2025`
**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
```sh
sudo docker run --runtime nvidia --gpus all -p 8000:8000 --ipc=host vllm/vllm-openai:nightly --model Firworks/command-a-reasoning-08-2025-nvfp4 --dtype auto --max-model-len 32768
```
This was tested on an RTX Pro 6000 Blackwell cloud instance.
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. |