deepseek-ai / text-generation updated 1 month ago

DeepSeek-V4-Flash-0731

DeepSeek-V4-Flash-0731 is the official release of DeepSeek-V4-Flash, superseding the preview version, with substantially enhanced agentic capabilities. It has the same model structure as DeepSeek-V4-Flash-DSpark, i.e. it comes with a speculative decoding module attached.

Params
304.2 B
Context
1,048,576
Downloads 30d
4.2 M
Likes
3,980
Commercial use: allowed mit Not gated SAFETENSORS View on Hugging Face ↗

Download history

daily snapshots · 48 days
▲ 1.6 M in the last 30 days (64.0%)
4.7 M236 K
Aug 4Aug 20Sep 5Sep 20

Can you run it?

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

FileQuantSizeEst. VRAMVerdict on RTX 4090 · 24 GB
model.safetensors i8 166.9 GB 229.7 GB ❌ Won’t fit
model.safetensors (bf16, full) bf16 + 1024K ctx 166.9 GB 6,024.3 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-0731
{
  "hf_id": "deepseek-ai/DeepSeek-V4-Flash-0731",
  "params_b": 304.18,
  "context_length": 1048576,
  "license": { "id": "mit", "commercial": "yes" },
  "downloads_30d": 4178593,
  "vram_estimates": [
    { "quant": "i8", "gb": 229.7 }
  ],
  "updated_at": "2026-08-04T01:00:25Z"
}
est. VRAM —on RTX 4090 · 24 GBJSON API →

Specifications

Architecture
DeepseekV4ForCausalLM
Parameters
304.2 B
Tensor type
I8
Context length
1,048,576
Vocabulary
129,280
Layers / heads
43 / 64
Licence
mit
First seen on the Hub
2026-07-31
Training datasets
undisclosed
Added to our catalog
2026-08-04
Compare with any text-generation model