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MiniCPM 2B Sft Fp32 Llama Format by openbmb

 »  All LLMs  »  openbmb  »  MiniCPM 2B Sft Fp32 Llama Format   URL Share it on

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MiniCPM 2B Sft Fp32 Llama Format is an open-source language model by openbmb. Features: 2b LLM, VRAM: 12GB, Context: 4K, LLM Explorer Score: 0.12.

  Conversational   En   Endpoints compatible   Minicpm   Modelbest   Pytorch   Region:us   Thunlp   Zh
Model Card on HF 🤗: https://huggingface.co/openbmb/MiniCPM-2B-sft-fp32-llama-format 

MiniCPM 2B Sft Fp32 Llama Format Benchmarks

LLME Score: 0.11948
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
MiniCPM 2B Sft Fp32 Llama Format (openbmb/MiniCPM-2B-sft-fp32-llama-format)
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MiniCPM 2B Sft Fp32 Llama Format Parameters and Internals

Model Type 
End-size LLM, Multimodal
Use Cases 
Areas:
Research, Commercial applications
Applications:
Multimodal model deployment, Smartphone inference
Primary Use Cases:
End-size language model applications
Limitations:
Model size limitations leading to hallucination issues, Influence of prompt words leading to inconsistent results, Inaccurate knowledge memory due to limited capacity
Additional Notes 
MiniCPM models and weights are fully open for research and limited commercial use pending registration.
Training Details 
Data Sources:
ShareGPT open-source corpus
Methodology:
SFT and DPO techniques applied
Input Output 
Accepted Modalities:
Text, Multimodal inputs
Performance Tips:
Clear data type specification in 'from_pretrained' to avoid large calculation errors
LLM NameMiniCPM 2B Sft Fp32 Llama Format
Repository 🤗https://huggingface.co/openbmb/MiniCPM-2B-sft-fp32-llama-format 
Model Size2b
Required VRAM12 GB
Updated2026-04-11
Maintaineropenbmb
Model Files  12.0 GB
Supported Languagesen zh
Model ArchitectureLlamaForCausalLM
Context Length4096
Model Max Length4096
Transformers Version4.36.0
Tokenizer ClassLlamaTokenizer
Vocabulary Size122753
Torch Data Typefloat32

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Note: green Score (e.g. "73.2") means that the model is better than openbmb/MiniCPM-2B-sft-fp32-llama-format.

Rank the MiniCPM 2B Sft Fp32 Llama Format Capabilities

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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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