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Internlm2 Math 20B AWQ by eabdullin

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Internlm2 Math 20B AWQ is an open-source language model by eabdullin. Features: 20b LLM, VRAM: 12.2GB, Context: 8K, Quantized, LLM Explorer Score: 0.13.

  4-bit   Awq   Custom code   Feature-extraction   Internlm2   Pytorch   Quantized   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/eabdullin/internlm2-math-20b-awq 

Internlm2 Math 20B AWQ Benchmarks

LLME Score: 0.1347
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Internlm2 Math 20B AWQ (eabdullin/internlm2-math-20b-awq)
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Internlm2 Math 20B AWQ Parameters and Internals

LLM NameInternlm2 Math 20B AWQ
Repository 🤗https://huggingface.co/eabdullin/internlm2-math-20b-awq 
Base Model(s)  Internlm2 Math 20B   internlm/internlm2-math-20b
Model Size20b
Required VRAM12.2 GB
Updated2025-09-23
Maintainereabdullin
Model Typeinternlm2
Model Files  2.0 GB: 1-of-7   1.9 GB: 2-of-7   2.0 GB: 3-of-7   2.0 GB: 4-of-7   2.0 GB: 5-of-7   1.2 GB: 6-of-7   1.1 GB: 7-of-7
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureInternLM2ForCausalLM
Context Length8192
Model Max Length8192
Transformers Version4.40.2
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 eabdullin/internlm2-math-20b-awq.

Rank the Internlm2 Math 20B AWQ 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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