Code Gemma by gnumanth

 ยป  All LLMs  ยป  gnumanth  ยป  Code Gemma   URL Share it on

Code Gemma is an open-source language model by gnumanth. Features: 2b LLM, VRAM: 5.1GB, Context: 8K, License: mit, LLM Explorer Score: 0.13.

  Autotrain compatible   Conversational   En   Endpoints compatible   Gemma   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF ๐Ÿค—: https://huggingface.co/gnumanth/code-gemma 

Code Gemma Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Code Gemma (gnumanth/code-gemma)
๐ŸŒŸ Advertise your project ๐Ÿš€

Code Gemma Parameters and Internals

Model Type 
text-generation, code-generation
Additional Notes 
The model can be used for text and code generation.
Supported Languages 
en (English)
Training Details 
Data Sources:
code_instructions_122k_alpaca_style
LLM NameCode Gemma
Repository ๐Ÿค—https://huggingface.co/gnumanth/code-gemma 
Model Size2b
Required VRAM5.1 GB
Updated2025-11-08
Maintainergnumanth
Model Typegemma
Model Files  5.0 GB: 1-of-2   0.1 GB: 2-of-2
Supported Languagesen
Model ArchitectureGemmaForCausalLM
Licensemit
Context Length8192
Model Max Length8192
Transformers Version4.38.0
Tokenizer ClassGemmaTokenizer
Padding Token<eos>
Vocabulary Size256000
Torch Data Typefloat16

Best Alternatives to Code Gemma

Best Alternatives
Context / RAM
Downloads
Likes
Gemma 1.1 2B It8K / 5.1 GB80705172
Gemma 1.1 2B It8K / 5 GB1913
Codegemma 2B8K / 5.1 GB1176896
Gita SastraGPT V18K / 5.1 GB81
Caca Tinny 2B V38K / 5.1 GB41
Pandas Tutor Gemma 2B8K / 5.1 GB91
Gemma Qlora Customer Support8K / 5.1 GB140
Octopus V28K / 5.1 GB1387885
Octopus V28K / 5.1 GB478890
... 2B Finetuned Sft Navarasa 2.08K / 10 GB12225
Note: green Score (e.g. "73.2") means that the model is better than gnumanth/code-gemma.

Rank the Code Gemma Capabilities

๐Ÿ†˜ 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! ๐ŸŒŸ

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  

What open-source LLMs or SLMs are you in search of? 52473 in total.

Our Social Media →  
Original data from HuggingFace, OpenCompass and various public git repos.
Check out Ag3ntum โ€” our secure, self-hosted AI agent for server management.
Release v20260328a