Codegemma 7B AWQ is an open-source language model by sh2orc. Features: 7b LLM, VRAM: 7.2GB, Context: 8K, License: gemma, Quantized, HF Score: 56.7, LLM Explorer Score: 0.16, Arc: 53.9, HellaSwag: 76.7, MMLU: 56.6, TruthfulQA: 38, WinoGrande: 69.6, GSM8K: 45.5, HumanEval: 40.1.
4-bit Autotrain compatible Awq Endpoints compatible Gemma Quantized Region:us Safetensors Sharded Tensorflow
Model Card on HF 🤗: https://huggingface.co/sh2orc/codegemma-7b-awq
Codegemma 7B AWQ Benchmarks
ARC: 53.92 vs 96.7 (so35)-44.2%
HellaSwag: 76.73 vs 95.3 (gpt4)-19.5%
MMLU: 56.59 vs 88.3 (so35)-35.9%
TruthfulQA: 38.03 vs 59 (gpt4)-35.5%
WinoGrande: 69.61 vs 87.5 (gpt4)-20.4%
GSM8K: 45.49 vs 96.4 (so35)-52.8%
HumanEvalA: 30.6
Python Eva: 40.13 vs 92 (so35)-56.4%
Java Eval: 35.03
Javascript: 43.06
CPP Eval: 40.34
PHP Eval: 34.76
Julia Eval: 28.91
D Eval: 10.44
Lua Eval: 32.88
R Eval: 20.96
Racket Eva: 13.55
Rust Eval: 34.56
Swift Eval: 32.62
LLME Score: 0.15719
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
What is the LLM Explorer Rank (Score)
Codegemma 7B AWQ Parameters and Internals
| LLM Name | Codegemma 7B AWQ |
| Repository 🤗 | https://huggingface.co/sh2orc/codegemma-7b-awq |
| Base Model(s) | |
| Model Size | 7b |
| Required VRAM | 7.2 GB |
| Updated | 2025-09-23 |
| Maintainer | sh2orc |
| Model Type | gemma |
| Model Files | |
| AWQ Quantization | Yes |
| Quantization Type | awq |
| Model Architecture | GemmaForCausalLM |
| License | gemma |
| Context Length | 8192 |
| Model Max Length | 8192 |
| Transformers Version | 4.40.2 |
| Tokenizer Class | GemmaTokenizer |
| Padding Token | <pad> |
| Vocabulary Size | 256000 |
| Torch Data Type | float16 |
Best Alternatives to Codegemma 7B AWQ
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Gemma 1.1 7B It AWQ | 8K / 7.2 GB | 6 | 0 |
| SeaLLM 7B V2.5 AWQ | 8K / 7.2 GB | 29 | 2 |
| CodeGemma 7B AWQ | 8K / 7.2 GB | 5 | 0 |
| SeaLLM 7B V2.5 AWQ | 8K / 5.6 GB | 5 | 0 |
| Gemma Ko 7B AWQ | 8K / 5.6 GB | 12 | 0 |
| Codegemma 1.1 7B It AWQ | 8K / 7.2 GB | 6 | 0 |
| Gemma 7B It AWQ | 8K / 7.2 GB | 59 | 2 |
| Gemma 7B AWQ | 8K / 7.2 GB | 16 | 0 |
| Gemma 7B It AWQ | 8K / 7.2 GB | 13 | 0 |
| ...t Cleaner Gemma 32k Merged 16b | 31K / 17.1 GB | 5 | 0 |
Rank the Codegemma 7B AWQ Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
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Release v20260328a