openbmb/MiniCPM5-2B-DSpark
text-generation model by openbmb
From the publisher
Model card & documentation
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MiniCPM Tech Report | MiniCPM Wiki(Chinese) | GitHub Repo | UltraData | Online Demo English | 中文 MiniCPM5-2B-DSpark is a DSpark draft checkpoint trained for exact pairing with MiniCPM5-2B and its tokenizer. Training responses were generated by MiniCPM5-2B from a mixture of general-domain, mathematics, and code prompts. Acceptance length is defined as the total number of completion tokens divided by the total number of speculative verification steps. Evaluation uses natural EOS termination and maxnewtokens=4096. 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.…
Read the full model card ↗ · Preview checked 2026-10-06T06:49:56.610Z
Inside the original model card — Document outline
- MiniCPM5-2B-DSpark
- Model Specification
- Training Recipe
- Evaluation
- Usage with SGLang
- Limitations and Disclaimer
- License
- Citation
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Model overview
openbmb/MiniCPM5-2B-DSpark is a text-generation model repository published by openbmb on Hugging Face. The source reports the transformers library.
This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.
Model facts
- Task
- text-generation
- Library
- transformers
- Recent downloads (30 days)
- 838,923
- Cumulative likes
- 44
- Hugging Face trending score
- 2
- Reported safetensors parameters
- 323,776,001
- Architecture
- Qwen3DSparkModel
- License
- apache-2.0
- Access
- Not gated by Hugging Face
- Created
- 2026-09-06T11:33:35.000Z
- Last modified
- 2026-09-06T16:19:16.000Z
Compatibility and lineage
Reported languages: en, zh
Base-model lineage was not included.
Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.
Use and evaluate
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-10-06T06:39:57.619Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.