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Internlm2 5 7B by internlm

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Internlm2 5 7B is an open-source language model by internlm. Features: 7b LLM, VRAM: 15.5GB, Context: 256K, LLM Explorer Score: 0.16.

  Arxiv:2403.17297   Conversational   Custom code   Internlm2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/internlm/internlm2_5-7b 

Internlm2 5 7B Benchmarks

LLME Score: 0.16487
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Internlm2 5 7B (internlm/internlm2_5-7b)
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Internlm2 5 7B Parameters and Internals

Model Type 
text generation
Use Cases 
Limitations:
The model may still produce unexpected outputs like biases, discrimination, or other harmful content.
Input Output 
Performance Tips:
Load model with torch_dtype=torch.float16 to prevent out of memory errors.
LLM NameInternlm2 5 7B
Repository 🤗https://huggingface.co/internlm/internlm2_5-7b 
Model Size7b
Required VRAM15.5 GB
Updated2026-04-22
Maintainerinternlm
Model Typeinternlm2
Model Files  10.0 GB: 1-of-2   5.5 GB: 2-of-2
Model ArchitectureInternLM2ForCausalLM
Context Length262144
Model Max Length262144
Transformers Version4.41.0
Is Biased0
Tokenizer ClassInternLM2Tokenizer
Padding Token</s>
Vocabulary Size92544
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than internlm/internlm2_5-7b.

Rank the Internlm2 5 7B 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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