Internlm Chat 7B W4 by lmdeploy

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Internlm Chat 7B W4 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
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Internlm Chat 7B W4 Parameters and Internals

Model Type 
Text Generation
Use Cases 
Areas:
AI Assistants, Text Generation
Primary Use Cases:
AI conversational agents, Text generation
Additional Notes 
Supports 4-bit weight quantization for efficient inference.
Supported Languages 
English (Supported)
Input Output 
Input Format:
Single prompt token
Accepted Modalities:
Text
Output Format:
Generated tokens
LLM NameInternlm Chat 7B W4
Repository ๐Ÿค—https://huggingface.co/lmdeploy/internlm-chat-7b-w4 
Model Size7b
Required VRAM5.1 GB
Updated2025-06-09
Maintainerlmdeploy
Model Typeinternlm
Model Files  5.1 GB
Model ArchitectureInternLMForCausalLM
Licenseapache-2.0
Context Length2048
Model Max Length2048
Transformers Version4.31.0
Is Biased1
Tokenizer ClassInternLMTokenizer
Padding Token</s>
Vocabulary Size103168
Torch Data Typefloat16
Internlm Chat 7B W4 (lmdeploy/internlm-chat-7b-w4)

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Note: green Score (e.g. "73.2") means that the model is better than lmdeploy/internlm-chat-7b-w4.

Rank the Internlm Chat 7B W4 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