LLM EXPLORER 59,420 MODELS INDEXED

Gemma Code Instruct Finetune Test by karan842

By karan842 · 9 downloads
HF Repo ↗ Copy URL

Gemma Code Instruct Finetune Test is an open-source language model by karan842. Features: 2b LLM, VRAM: 5.1GB, Context: 8K, License: mit, Fine-Tuned, Instruction-Based, LLM Explorer Score: 0.12.

  Autotrain compatible   Endpoints compatible   Finetuned   Gemma   Instruct   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/karan842/gemma-code-instruct-finetune-test 

Gemma Code Instruct Finetune Test Parameters and Internals

Model Type 
question-answering
Additional Notes 
Model is trained on Gemma-2B model for assisting in programming.
LLM NameGemma Code Instruct Finetune Test
Repository 🤗https://huggingface.co/karan842/gemma-code-instruct-finetune-test 
Model Size2b
Required VRAM5.1 GB
Updated2025-09-23
Maintainerkaran842
Model Typegemma
Instruction-BasedYes
Model Files  5.0 GB: 1-of-2   0.1 GB: 2-of-2
Model ArchitectureGemmaForCausalLM
Licensemit
Context Length8192
Model Max Length8192
Transformers Version4.38.0
Tokenizer ClassGemmaTokenizer
Padding Token<eos>
Vocabulary Size256000
Torch Data Typefloat16

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VRAM
...Code 2B Instruct Finetune Test0335 GB

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Note: green Score (e.g. "73.2") means that the model is better than karan842/gemma-code-instruct-finetune-test.