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Codegemma 7B It by unsloth

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Codegemma 7B It is an open-source language model by unsloth. Features: 7b LLM, VRAM: 17.1GB, Context: 8K, License: apache-2.0, LLM Explorer Score: 0.13.

  Bnb   Conversational   En   Endpoints compatible   Gemma   Region:us   Safetensors   Sharded   Tensorflow   Unsloth
Model Card on HF 🤗: https://huggingface.co/unsloth/codegemma-7b-it 

Codegemma 7B It Benchmarks

LLME Score: 0.12542
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Codegemma 7B It (unsloth/codegemma-7b-it)
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Codegemma 7B It Parameters and Internals

Model Type 
text generation
Use Cases 
Areas:
beginner-friendly fine-tuning and text generation
Applications:
finetuning models for faster and memory-efficient performance, exporting models to various formats, uploading models to Hugging Face
Primary Use Cases:
2x faster fine-tuning
Additional Notes 
Unsloth provides free Colab notebooks for beginners to finetune models efficiently.
LLM NameCodegemma 7B It
Repository 🤗https://huggingface.co/unsloth/codegemma-7b-it 
Model Size7b
Required VRAM17.1 GB
Updated2026-05-14
Maintainerunsloth
Model Typegemma
Model Files  7.0 GB: 1-of-3   6.9 GB: 2-of-3   3.2 GB: 3-of-3
Supported Languagesen
Model ArchitectureGemmaForCausalLM
Licenseapache-2.0
Context Length8192
Model Max Length8192
Transformers Version4.44.2
Tokenizer ClassGemmaTokenizer
Padding Token<pad>
Vocabulary Size256000
Torch Data Typebfloat16

Best Alternatives to Codegemma 7B It

Best Alternatives
Context / RAM
Downloads
Likes
Kaggle Math Model Gemma V112K / 17.1 GB50
Gemma 1.1 7B It8K / 17.1 GB12200275
Gemma 1.1 7B It8K / 17.1 GB124
Gemma 7B It8K / 17.1 GB157010
SeaLLM 7B V2.58K / 17.1 GB1247651
Zephyr 7B Gemma DPO Avg8K / 17.1 GB150
Zephyr 7B Gemma Rpo Avg8K / 17.1 GB70
... Codegemma 2 7B It Alpaca V1.38K / 17.1 GB21
... 7B Finetuned Sft Navarasa 2.08K / 34 GB162023
Codegemma 7B It8K / 17.1 GB8430252
Note: green Score (e.g. "73.2") means that the model is better than unsloth/codegemma-7b-it.

Rank the Codegemma 7B It Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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