Codegemma 7B AWQ by sh2orc

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Codegemma 7B AWQ is an open-source language model by sh2orc. Features: 7b LLM, VRAM: 7.2GB, Context: 8K, License: gemma, Quantized, LLM Explorer Score: 0.15, Arc: 53.9, HellaSwag: 76.7, MMLU: 56.6, GSM8K: 45.5, HumanEval: 40.1.

  4-bit   Awq   Endpoints compatible   Gemma   Quantized   Region:us   Safetensors   Sharded   Tensorflow

Codegemma 7B AWQ Benchmarks

Codegemma 7B AWQ Parameters and Internals

LLM NameCodegemma 7B AWQ
Repository 🤗https://huggingface.co/sh2orc/codegemma-7b-awq 
Base Model(s)  Codegemma 7B   unsloth/codegemma-7b
Model Size7b
Required VRAM7.2 GB
Updated2026-05-20
Maintainersh2orc
Model Typegemma
Model Files  6.6 GB: 1-of-2   0.6 GB: 2-of-2
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureGemmaForCausalLM
Licensegemma
Context Length8192
Model Max Length8192
Transformers Version4.40.2
Tokenizer ClassGemmaTokenizer
Padding Token<pad>
Vocabulary Size256000
Torch Data Typefloat16

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...t Cleaner Gemma 32k Merged 16b31K / 17.1 GB50
Note: green Score (e.g. "73.2") means that the model is better than sh2orc/codegemma-7b-awq.

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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  
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Multi-Language Support and Translation  

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Release v20260328a