deepseek-ai / text-generation updated 1 year ago

DeepSeek-R1-0528-Qwen3-8B

The DeepSeek R1 model has undergone a minor version upgrade, with the current version being DeepSeek-R1-0528. In the latest update, DeepSeek R1 has significantly improved its depth of reasoning and inference capabilities by leveraging increased computational resources and introducing algorithmic optimization mechanisms during post-training. The model has demonstrated outstanding performance across various benchmark e...

Params
8.2 B
Context
131,072
Downloads 30d
1.7 M
Likes
1,082
Commercial use: allowed mit Not gated SAFETENSORS View on Hugging Face ↗

Download history

daily snapshots · 10 days
2.0 M1.7 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 bf16 16.4 GB 19.7 GB ⚠️ Tight — reduce context
model.safetensors (bf16, full) bf16 + 128K ctx 16.4 GB 38.2 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-r1-0528-qwen3-8b
{
  "hf_id": "deepseek-ai/DeepSeek-R1-0528-Qwen3-8B",
  "params_b": 8.19,
  "context_length": 131072,
  "license": { "id": "mit", "commercial": "yes" },
  "downloads_30d": 1710996,
  "vram_estimates": [
    { "quant": "bf16", "gb": 19.7 }
  ],
  "updated_at": "2026-07-28T17:08:10Z"
}
est. VRAM —on RTX 4090 · 24 GBJSON API →

Specifications

Architecture
Qwen3ForCausalLM
Parameters
8.2 B
Tensor type
BF16
Context length
131,072
Vocabulary
151,936
Layers / heads
36 / 32
Licence
mit
First seen on the Hub
2025-05-29
Training datasets
undisclosed
Added to our catalog
2026-07-28