nvidia / text-generation updated 1 month ago

DeepSeek-V4-Flash-NVFP4

Name: DeepSeek-V4-Flash-NVFP4
Author: nvidia

The NVIDIA DeepSeek-V4-Flash-NVFP4 model is a quantized version of DeepSeek AI's DeepSeek-V4-Flash model, an autoregressive Mixture-of-Experts language model that uses an optimized Transformer architecture with hybrid attention (Compressed Sparse Attention and Heavily Compressed Attention) and Manifold-Constrained Hyper-Connections. For more information, refer to the DeepSeek-V4-Flash model card. The NVIDIA DeepSeek-...

Params

166.7 B

Context

1,048,576

Downloads 30d

1.1 M

Likes

Commercial use: allowed mit Not gated SAFETENSORS View on Hugging Face ↗

Download history

daily snapshots · 10 days

1.3 M1.1 M

Jul 28Jul 31Aug 3Aug 6

Can you run it?

Estimated VRAM at 8K context unless noted. Pick your hardware to see the verdict per quantization.

File	Quant	Size	Est. VRAM	Verdict on RTX 4090 · 24 GB
model.safetensors	u8	168.3 GB	210.6 GB	❌ Won’t fit
model.safetensors (bf16, full)	bf16 + 1024K ctx	168.3 GB	3,386.8 GB	❌ Won’t fit

Estimate: file size × 1.1 + KV cache at 8K + 0.5 GB overhead. Not a benchmark — how we calculate this.

Run it

copy-paste, exact tags checked against the Hub

~ · curl · api/v1

$ curl -s https://aimodelscomparison.com/api/v1/models/deepseek-v4-flash-nvfp4
{
  "hf_id": "nvidia/DeepSeek-V4-Flash-NVFP4",
  "params_b": 166.73,
  "context_length": 1048576,
  "license": { "id": "mit", "commercial": "yes" },
  "downloads_30d": 1116514,
  "vram_estimates": [
    { "quant": "u8", "gb": 210.6 }
  ],
  "updated_at": "2026-07-28T18:03:17Z"
}

est. VRAM —on RTX 4090 · 24 GBJSON API →

Specifications

Architecture: DeepseekV4ForCausalLM
Parameters: 166.7 B
Tensor type: U8
Context length: 1,048,576
Vocabulary: 129,280
Layers / heads: 43 / 64
Licence: mit
First seen on the Hub: 2026-05-18
Base model: DeepSeek-V4-Flash
Training datasets: undisclosed
Added to our catalog: 2026-07-28

Family

Base model and the most-downloaded derivatives in the catalog.

Base DeepSeek-V4-Flash deepseek-ai 2.7 M

Compare with

gpt-oss-120b 4.2 M NVIDIA-Nemotron-3-Super-120B-A12B-NVFP4 2.8 M DeepSeek-V4-Flash 2.7 M Qwen3-Coder-Next-FP8 2.2 M Qwen-72B 2.2 M GLM-5.2-NVFP4 1.8 M

Appears in

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