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
Download history
daily snapshots · 10 days3.1 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.
| File | Quant | Size | Est. VRAM | Verdict 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 -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"
}
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
Family
Base model and the most-downloaded derivatives in the catalog.
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