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MiniCPM Duplex by xinrongzhang2022

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MiniCPM Duplex is an open-source language model by xinrongzhang2022. Features: 2b LLM, VRAM: 5.5GB, Context: 4K, License: apache-2.0, LLM Explorer Score: 0.15.

  Arxiv:2406.15718   Conversational   Custom code   Pytorch   Region:us
Model Card on HF 🤗: https://huggingface.co/xinrongzhang2022/MiniCPM-duplex 

MiniCPM Duplex Benchmarks

LLME Score: 0.14726
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
MiniCPM Duplex (xinrongzhang2022/MiniCPM-duplex)
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MiniCPM Duplex Parameters and Internals

LLM NameMiniCPM Duplex
Repository 🤗https://huggingface.co/xinrongzhang2022/MiniCPM-duplex 
Model Size2b
Required VRAM5.5 GB
Updated2026-05-10
Maintainerxinrongzhang2022
Model Files  5.5 GB
Model ArchitectureMiniCPMForCausalLM
Licenseapache-2.0
Context Length4096
Model Max Length4096
Transformers Version4.36.0
Tokenizer ClassLlamaTokenizer
Vocabulary Size122760
Torch Data Typebfloat16

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MiniCPM 2B 128K64K / 6 GB116443
MiniCPM 2B Sft Bf164K / 5.5 GB79236124
Sparsing Law 0.1B Relu4K / 0.4 GB8332
MiniCPM MoE 8x2B4K / 27.7 GB340946
MiniCPM 2B Sft Fp324K / 10.9 GB1069296
...iCPM 2B RAFT Lora Hotpotqa Dev4K / 5.5 GB70
...iniCPM 2B DPO Fp32 Safetensors4K / 10.9 GB411
...iniCPM 2B Sft Fp32 Safetensors4K / 10.9 GB321
...iniCPM 2B DPO Bf16 Safetensors4K / 5.5 GB221
...iniCPM 2B Sft Fp32 Safetensors4K / 10.9 GB71
Note: green Score (e.g. "73.2") means that the model is better than xinrongzhang2022/MiniCPM-duplex.

Rank the MiniCPM Duplex 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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