nvidia/DeepSeek-V4.1-Flash-1017-NVFP4
image-text-to-text · ♥ 167 · ↓ 3.6K
- Taskimage-text-to-text
- Downloads3648
- Likes167
- Licensemit
image-text-to-text · ♥ 167 · ↓ 3.6K
Our AI models are designed and/or optimized to run on NVIDIA GPU-accelerated systems. By leveraging NVIDIA's hardware (e.g. GPU cores) and software frameworks (e.g., CUDA libraries), the model achieves faster training and inference times compared to CPU-only solutions.
This checkpoint stores the Engram lookup tables as MXFP4, which stock vLLM images cannot load. Use a vLLM build that includes the pull request above. The benchmark results below were obtained with vllm/vllm-openai:v0.31.0 with that pull request's Engram changes applied. SGLang has not been validated with this checkpoint.
Excerpt from the model card on Hugging Face ↗.
nvidia/DeepSeek-V4.1-Flash-1017-NVFP4 was first seen on Hugging Face · Trending models on Nov 4, 2026. Since then it has appeared in 48 checks on 3 different days. Its best position was #28 of 30, reached on Nov 4, 19:42 UTC. It dropped off the list after Nov 6, 19:42 UTC.
Position on Hugging Face · Trending models at every check (lower is better).
Best rank per day (UTC).
Platform metric as reported by Hugging Face.
Archived daily, weekly and monthly lists that include this entry.
Not at the moment. It was last on the list on Nov 6, 19:42 UTC, after 3 days of trending.
#28 on Hugging Face · Trending models, on Nov 4, 19:42 UTC. Trendoday checks this list every 60 minutes.
It was first seen on Nov 4, 2026 and has been on the list on 3 days (48 checks) since.
It is tagged image-text-to-text with Model Optimizer on Hugging Face and has 3648 downloads under the mit license.