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Internlm2 5 7B Chat 4bit by internlm

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Internlm2 5 7B Chat 4bit is an open-source language model by internlm. Features: 7b LLM, VRAM: 5.2GB, Context: 32K, License: apache-2.0, Quantized, LLM Explorer Score: 0.14.

  Arxiv:2306.00978   4-bit   4bit   Awq   Conversational   Custom code   Feature-extraction   Internlm2   Pytorch   Quantized   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/internlm/internlm2_5-7b-chat-4bit 

Internlm2 5 7B Chat 4bit Benchmarks

LLME Score: 0.1355
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 Chat 4bit (internlm/internlm2_5-7b-chat-4bit)
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Internlm2 5 7B Chat 4bit Parameters and Internals

Model Type 
text-generation
Additional Notes 
The model uses INT4 weight-only quantization for accelerated inference.
LLM NameInternlm2 5 7B Chat 4bit
Repository 🤗https://huggingface.co/internlm/internlm2_5-7b-chat-4bit 
Model Size7b
Required VRAM5.2 GB
Updated2026-07-09
Maintainerinternlm
Model Typeinternlm2
Model Files  2.0 GB: 1-of-3   2.0 GB: 2-of-3   1.2 GB: 3-of-3
Quantization Type4bit
Model ArchitectureInternLM2ForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.40.1
Is Biased0
Tokenizer ClassInternLM2Tokenizer
Padding Token</s>
Vocabulary Size92544
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than internlm/internlm2_5-7b-chat-4bit.

Rank the Internlm2 5 7B Chat 4bit 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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