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Internlm Chat 7B by internlm

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  Custom code   Feature-extraction   Internlm   Pytorch   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/internlm/internlm-chat-7b 

Internlm Chat 7B Benchmarks

LLME Score: 0.15017
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Internlm Chat 7B (internlm/internlm-chat-7b)
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Internlm Chat 7B Parameters and Internals

Model Type 
text-generation
Additional Notes 
The model may produce unexpected outputs, such as biases or harmful content.
Training Details 
Data Volume:
trillions of high-quality tokens
Context Length:
8000
Input Output 
Performance Tips:
Set `torch_dtype=torch.float16` to load model in float16 to prevent OOM errors.
LLM NameInternlm Chat 7B
Repository 🤗https://huggingface.co/internlm/internlm-chat-7b 
Model Size7b
Required VRAM14.6 GB
Updated2025-10-05
Maintainerinternlm
Model Typeinternlm
Model Files  2.0 GB: 1-of-8   1.9 GB: 2-of-8   1.9 GB: 3-of-8   2.0 GB: 4-of-8   2.0 GB: 5-of-8   2.0 GB: 6-of-8   2.0 GB: 7-of-8   0.8 GB: 8-of-8
Model ArchitectureInternLMForCausalLM
Context Length2048
Model Max Length2048
Transformers Version4.33.2
Is Biased1
Tokenizer ClassInternLMTokenizer
Padding Token</s>
Vocabulary Size103168
Torch Data Typefloat16

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Rank the Internlm Chat 7B 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124
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