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Gemma Code Instruct Finetune Test by nervmouse

By nervmouse · 45 downloads
HF Repo ↗ Copy URL

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: 0.12.

  Arxiv:1910.09700   Conversational   Endpoints compatible   Finetuned   Gemma   Gguf   Instruct   Quantized   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/nervmouse/gemma-Code-Instruct-Finetune-test 

Gemma Code Instruct Finetune Test Parameters and Internals

LLM NameGemma Code Instruct Finetune Test
Repository 🤗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
Updated2026-07-05
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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Note: green Score (e.g. "73.2") means that the model is better than nervmouse/gemma-Code-Instruct-Finetune-test.