MiniCPM5-2B
We are releasing MiniCPM5-2B, the second model in the MiniCPM5 series, following MiniCPM5-1B. It is a dense 2B Transformer that scales up the same training recipe, built for on-device, local deployment, and resource-constrained scenarios, reaching 2B-class open-source SOTA.
Params
2.5 B
Context
131,072
Downloads 30d
421 K
Likes
1,628
Download history
daily snapshots · 7 days421 K207 K
Sep 15Sep 17Sep 19Sep 21
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 | bf16 | 5.0 GB | 6.4 GB | ✅ Runs comfortably |
| model.safetensors (bf16, full) | bf16 + 128K ctx | 5.0 GB | 12.1 GB | ✅ Runs comfortably |
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/minicpm5-2b
{
"hf_id": "openbmb/MiniCPM5-2B",
"params_b": 2.52,
"context_length": 131072,
"license": { "id": "apache-2.0", "commercial": "yes" },
"downloads_30d": 420622,
"vram_estimates": [
{ "quant": "bf16", "gb": 6.4 }
],
"updated_at": "2026-09-15T01:00:31Z"
}
Specifications
- Architecture
- LlamaForCausalLM
- Parameters
- 2.5 B
- Tensor type
- BF16
- Context length
- 131,072
- Vocabulary
- 130,560
- Layers / heads
- 42 / 16
- Licence
- apache-2.0
- First seen on the Hub
- 2026-09-06
- Training datasets
- openbmb/Ultra-FineWeb, openbmb/UltraX-Preview, openbmb/Ultra-FineWeb-L3, openbmb/UltraData-Math, openbmb/UltraData-Code, openbmb/UltraData-SFT-2605, openbmb/UltraData-SFT-Agent-2609, openbmb/UltraData-RL-2609
- Added to our catalog
- 2026-09-15
Compare with any text-generation model