Model reference · open weights

MiniCPM5-DSpark

Available as managed deployment LLMs openbmb Text gen 2 variants 430 dl/mo

MiniCPM5-DSpark is an open-weight language model from openbmb. AxForge deploys and operates it for you on dedicated EU-owned hardware — with the licence handled where one is required.

Available as managed deployment — configured and operated for you on dedicated EU hardware, quoted per deployment.

What it is

Released byopenbmb
TypeLanguage models
TaskText gen
Runs withtransformers
Released2026-09-09
Popularity430 downloads / month
LicenceOpen weights

About

What MiniCPM5-DSpark is

GGUF version of MiniCPM5-2B-DSpark for speculative decoding with MiniCPM5-2B in llama.cpp.

FilePrecisionSize
MiniCPM5-2.6B-DSpark.ggufBF16653 MB
Read the full model card

Usage with llama.cpp

llama-server \
  -m MiniCPM5-2B-Q4_K_M.gguf \
  -md MiniCPM5-2.6B-DSpark.gguf \
  --spec-type draft-dspark --spec-draft-n-max 7 \
  -ngl 99 -ngld 99 -fa on \
  -c 8192 --jinja --port 8080

Limitations and Disclaimer

This model has no autonomous intent or legal personhood; its outputs are text generated from statistical patterns and may be inaccurate, biased, or offensive, and may be manipulated by carefully crafted prompts ("jailbreaks") into producing unintended content. Its responses on sensitive topics such as politics, health, finance, and law are not reviewed by experts and should not be treated as professional advice.

This model is provided "AS IS", without warranty of any kind, express or implied, and the developers are not liable for any damages arising from its use. Users must employ the model only for lawful, compliant, and ethical purposes, configure their own safeguards, and label AI-generated content where required; deliberate jailbreaking, injection attacks, or inducing harmful output is prohibited, and any such testing is at the user's own risk.

License

This repository and MiniCPM model weights are released under the Apache-2.0 License.

Citation

Please cite our paper if you find our work valuable:

@article{minicpm4,
  title={Minicpm4: Ultra-efficient llms on end devices},
  author={MiniCPM, Team},
  journal={arXiv preprint arXiv:2506.07900},
  year={2025}
}

From the published model card. Full card on the HuggingFace links in the sidebar.

How it works

How language models work

Your prompttext / messagesTransformerattention over tokensNext-token loopgenerate + streamResponsetext · tool callsA language model reads your tokens and predicts the next one, again and again, streaming the reply back.

Using it via the API

Call it like any OpenAI endpoint

Once AxForge deploys minicpm5-dspark for you, it answers on the OpenAI-compatible API — the same base URL and keys as every other model. (minicpm5-dspark below is illustrative; you get the exact model name on deployment.)

$ curl -sS https://api.axforge.ai/v1/chat/completions \
  -H "Authorization: Bearer $AXFORGE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"minicpm5-dspark","messages":[{"role":"user","content":"Hello"}]}'

Create an account — your API key is available in the console. 3M free tokens every 30 days with every new account.

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