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MiniCPM MoE 8x2B by openbmb

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MiniCPM MoE 8x2B is an open-source language model by openbmb. Features: 2b LLM, VRAM: 27.7GB, Context: 4K, MoE, LLM Explorer Score: 0.13.

  Conversational   Custom code   Moe   Pytorch   Region:us
Model Card on HF 🤗: https://huggingface.co/openbmb/MiniCPM-MoE-8x2B 

MiniCPM MoE 8x2B Benchmarks

LLME Score: 0.12769
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
MiniCPM MoE 8x2B (openbmb/MiniCPM-MoE-8x2B)
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MiniCPM MoE 8x2B Parameters and Internals

Model Type 
decoder-only, transformer-based, generative, Mixture-of-Experts (MoE)
Additional Notes 
- Instruction tuned but without other RLHF methods.\n- Model weights are in bfloat16 precision.\n- For more inference throughput, use vLLM (>=0.4.1) which is compatible with this model.
LLM NameMiniCPM MoE 8x2B
Repository 🤗https://huggingface.co/openbmb/MiniCPM-MoE-8x2B 
Model Size2b
Required VRAM27.7 GB
Updated2026-07-04
Maintaineropenbmb
Model Files  27.7 GB
Model ArchitectureMiniCPMForCausalLM
Context Length4096
Model Max Length4096
Transformers Version4.36.0
Tokenizer ClassLlamaTokenizer
Vocabulary Size122753
Torch Data Typebfloat16

Best Alternatives to MiniCPM MoE 8x2B

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MiniCPM 2B 128K64K / 6 GB190544
MiniCPM 2B Sft Bf164K / 5.5 GB73860126
Sparsing Law 0.1B Relu4K / 0.4 GB4132
MiniCPM Duplex4K / 5.5 GB6176
...iCPM 2B RAFT Lora Hotpotqa Dev4K / 5.5 GB50
MiniCPM 2B Sft Fp324K / 10.9 GB566297
MiniCPM 2B DPO Bf164K / 5.5 GB189752
...iniCPM 2B DPO Bf16 Safetensors4K / 5.5 GB2061
...iniCPM 2B DPO Fp32 Safetensors4K / 10.9 GB341
...iniCPM 2B Sft Fp32 Safetensors4K / 10.9 GB141
Note: green Score (e.g. "73.2") means that the model is better than openbmb/MiniCPM-MoE-8x2B.

Rank the MiniCPM MoE 8x2B Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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