Gemma Code Instruct Finetune Test by nervmouse

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Gemma Code Instruct Finetune Test is an open-source language model by nervmouse. Features: 2b LLM, VRAM: 5.1GB, Context: 8K, Quantized, Fine-Tuned, Instruction-Based, LLM Explorer Score: 0.13.

  Arxiv:1910.09700   Conversational   Endpoints compatible   Finetuned   Gemma   Gguf   Instruct   Quantized   Region:us   Safetensors   Sharded   Tensorflow

Gemma Code Instruct Finetune Test Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Gemma Code Instruct Finetune Test (nervmouse/gemma-Code-Instruct-Finetune-test)
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Gemma Code Instruct Finetune Test Parameters and Internals

LLM NameGemma Code Instruct Finetune Test
Repository ๐Ÿค—https://huggingface.co/nervmouse/gemma-Code-Instruct-Finetune-test 
Base Model(s)  ... Code Instruct Finetune Python   wambugu1738/gemma-Code-Instruct-Finetune-Python
Model Size2b
Required VRAM5.1 GB
Updated2026-04-01
Maintainernervmouse
Model Typegemma
Instruction-BasedYes
Model Files  0.0 GB   5.0 GB: 1-of-2   0.1 GB: 2-of-2
GGUF QuantizationYes
Quantization Typegguf
Model ArchitectureGemmaForCausalLM
Context Length8192
Model Max Length8192
Transformers Version4.38.0
Tokenizer ClassGemmaTokenizer
Padding Token<eos>
Vocabulary Size256000
Torch Data Typefloat16

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...os Code Instruct Finetune Test8K / 5.1 GB280
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Gemma 2B Instruct8K / 5.1 GB400
...Code 2B Instruct Finetune Test8K / 5.1 GB250
Gita SastraGPT V18K / 5.1 GB81
Pandas Tutor Gemma 2B8K / 5.1 GB41
... 2B Finetuned Sft Navarasa 2.08K / 10 GB12225
...ma Code Instruct Finetune Test8K / 5.1 GB50
Gemma 2B Sft Preview8K / 5 GB90
Note: green Score (e.g. "73.2") means that the model is better than nervmouse/gemma-Code-Instruct-Finetune-test.

Rank the Gemma Code Instruct Finetune Test 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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Release v20260328a