ArchiveStudio/MiniCPM4.1-8B
text-generation model by ArchiveStudio
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Model card & documentation
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GitHub Repo | Technical Report | Join Us 👋 Contact us in Discord and WeChat MiniCPM4.1 is highlighted with following features: ✅ Strong Reasoning Capability: Surpasses similar-sized models on 15 tasks! ✅ Fast Generation: 3x decoding speedup for reasoning! ✅ Efficient Architecture: Trainable sparse attention, frequency-ranked speculative decoding! MiniCPM4.1 launches end-side versions with 8B parameter scale, both achieving best-in-class performance in their respective categories. MiniCPM4.1 adopts sparse attention and speculative decoding to improve the inference efficiency. On RTX 4090, MiniCPM4.1 achieves 3x decoding speed improvement in reasoning. MiniCPM 4.1 can be used with following frameworks: Huggingface Transformers, SGLang, vLLM, and CPM.cu. For the ultimate inference speed, we highly recommend CPM.cu. MiniCPM4/MiniCPM4.1 supports both dense attention inference and sparse attention inference modes, where vLLM and SGLang currently only support dense inference mode. If you want to use sparse inference mode, please use Huggingface Transformers and CPM.cu. To facilitate researches in sparse…
Read the full model card ↗ · Preview checked 2026-10-30T07:17:25.852Z
Inside the original model card — Document outline
- What's New
- Highlights
- Evaluation Results
- Performance Evaluation
- Best Practices
- Efficiency Evaluation
- Examples
- Usage
- Inference with Transformers
- Inference with SGLang
- Speculative Decoding
- 1. Download MiniCPM4.1 Draft Model
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Model overview
ArchiveStudio/MiniCPM4.1-8B is a text-generation model repository published by ArchiveStudio 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)
- 0
- Cumulative likes
- 0
- Hugging Face trending score
- 0
- Reported safetensors parameters
- 8,185,253,888
- Architecture
- MiniCPMForCausalLM
- License
- apache-2.0
- Access
- Not gated by Hugging Face
- Created
- 2026-10-30T06:16:39.000Z
- Last modified
- 2026-10-30T06:16:39.000Z
Compatibility and lineage
Reported languages: zh, en
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 2026-10-30T06:49:24.903Z. Daily imports are snapshots, not real-time monitoring.
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