deepseek-ai / text-generation updated 1 month ago

DeepSeek-V4-Flash

We present a preview version of DeepSeek-V4 series, including two strong Mixture-of-Experts (MoE) language models — DeepSeek-V4-Pro with 1.6T parameters (49B activated) and DeepSeek-V4-Flash with 284B parameters (13B activated) — both supporting a context length of one million tokens.

Params
158.1 B
Context
1,048,576
Downloads 30d
2.7 M
Likes
2,031
Commercial use: allowed mit Not gated SAFETENSORS View on Hugging Face ↗

Download history

daily snapshots · 10 days
3.1 M2.7 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.

FileQuantSizeEst. VRAMVerdict on RTX 4090 · 24 GB
model.safetensors i8 159.6 GB 199.8 GB ❌ Won’t fit
model.safetensors (bf16, full) bf16 + 1024K ctx 159.6 GB 3,211.0 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
{
  "hf_id": "deepseek-ai/DeepSeek-V4-Flash",
  "params_b": 158.07,
  "context_length": 1048576,
  "license": { "id": "mit", "commercial": "yes" },
  "downloads_30d": 2737621,
  "vram_estimates": [
    { "quant": "i8", "gb": 199.8 }
  ],
  "updated_at": "2026-07-28T17:07:23Z"
}
est. VRAM —on RTX 4090 · 24 GBJSON API →

Specifications

Architecture
DeepseekV4ForCausalLM
Parameters
158.1 B
Tensor type
I8
Context length
1,048,576
Vocabulary
129,280
Layers / heads
43 / 64
Licence
mit
First seen on the Hub
2026-04-22
Training datasets
undisclosed
Added to our catalog
2026-07-28