openbmb / text-generation updated 2 months ago

MiniCPM5-1B

Name: MiniCPM5-1B
Author: openbmb

We are releasing MiniCPM5-1B, the first model in the MiniCPM5 series. It is a dense 1B Transformer built for on-device, local deployment, and resource-constrained scenarios, reaching 1B-class open-source SOTA.

Params

1.1 B

Context

131,072

Downloads 30d

926 K

Likes

1,034

Commercial use: allowed apache-2.0 Not gated SAFETENSORS 2 languages View on Hugging Face ↗

Download history

daily snapshots · 10 days

926 K626 K

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	bf16	2.2 GB	3.0 GB	✅ Runs comfortably
model.safetensors (bf16, full)	bf16 + 128K ctx	2.2 GB	5.5 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 · api/v1

$ curl -s https://aimodelscomparison.com/api/v1/models/minicpm5-1b
{
  "hf_id": "openbmb/MiniCPM5-1B",
  "params_b": 1.08,
  "context_length": 131072,
  "license": { "id": "apache-2.0", "commercial": "yes" },
  "downloads_30d": 925545,
  "vram_estimates": [
    { "quant": "bf16", "gb": 3.0 }
  ],
  "updated_at": "2026-07-28T18:04:35Z"
}

est. VRAM —on RTX 4090 · 24 GBJSON API →

Specifications

Architecture: LlamaForCausalLM
Parameters: 1.1 B
Tensor type: BF16
Context length: 131,072
Vocabulary: 130,560
Layers / heads: 24 / 16
Licence: apache-2.0
First seen on the Hub: 2026-05-21
Training datasets: openbmb/Ultra-FineWeb, openbmb/Ultra-FineWeb-L3, openbmb/UltraData-Math, openbmb/UltraData-SFT-2605
Added to our catalog: 2026-07-28

Compare with

Qwen3-0.6B 29.7 M Qwen2.5-1.5B-Instruct 14.0 M Llama-3.2-1B-Instruct 10.4 M Qwen3-1.7B 7.8 M Qwen2.5-0.5B-Instruct 6.6 M gemma-3-1b-it 4.7 M

Appears in

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