huggingface
MiniCPM5 2B
hf/openbmb/MiniCPM5-2B-GGUF
Open-weight model — runs free on your own GPU via the node runtime (GGUF). 180,593 downloads and 280 likes on Hugging Face (openbmb/MiniCPM5-2B-GGUF).
- Type
- text
- Provider
- huggingface
- Model ID
- hf/openbmb/MiniCPM5-2B-GGUF
- Capabilities
- tools
- Self-hostable
- Yes — runs on your own GPU
Listed in the directory for discovery. textmodels aren't callable through the chat gateway yet — image and video models can run on your own nodes today.
Run it on your own hardware
Estimated GPU memory for MiniCPM5 2B (2.0B parameters), for the weights alone — add room for the context cache.
- Q4_K_M
- ~1.9 GBfits a 8 GB card
- Q8_0
- ~2.7 GBfits a 8 GB card
- FP16 / BF16
- ~4.5 GBfits a 8 GB card
Install the agent on the machine and it dials out to the gateway over a single WebSocket — no port forwarding or inbound firewall rules. Requests for this model go to your node first and fail over to the cloud only when it can't serve.
/// initialize
Call MiniCPM5 2B through one OpenAI-compatible endpoint.
Serve it from hardware you own, with cloud failover when your nodes are busy or offline.
no credit card · 2 nodes free · openai-compatible
Frequently asked questions
- Can I run MiniCPM5 2B on my own hardware?
- Yes — MiniCPM5 2B is an open-weight model you can run on a workstation or on-prem server you own. At Q4_K_M it needs roughly 1.9 GB of GPU memory, plus room for the context cache — it fits a single 8 GB card. Wide Area Intelligence routes requests to your own nodes first and fails over to the cloud only when they can't serve.
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