Finetuned Gemma 2 2B Output Layer 20 4K 7 by richmondsin

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Finetuned Gemma 2 2B Output Layer 20 4K 7 is an open-source language model by richmondsin. Features: 2b LLM, VRAM: 10.5GB, Context: 8K, Fine-Tuned, LLM Explorer Score: 0.18.

  Arxiv:1910.09700   Autotrain compatible   Endpoints compatible   Finetuned   Gemma2   Region:us   Safetensors   Sharded   Tensorflow

Finetuned Gemma 2 2B Output Layer 20 4K 7 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Finetuned Gemma 2 2B Output Layer 20 4K 7 (richmondsin/finetuned-gemma-2-2b-output-layer-20-4k-7)
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Finetuned Gemma 2 2B Output Layer 20 4K 7 Parameters and Internals

LLM NameFinetuned Gemma 2 2B Output Layer 20 4K 7
Repository ๐Ÿค—https://huggingface.co/richmondsin/finetuned-gemma-2-2b-output-layer-20-4k-7 
Model Size2b
Required VRAM10.5 GB
Updated2025-09-23
Maintainerrichmondsin
Model Typegemma2
Model Files  5.0 GB: 1-of-3   5.0 GB: 2-of-3   0.5 GB: 3-of-3
Model ArchitectureGemma2ForCausalLM
Context Length8192
Model Max Length8192
Transformers Version4.46.0
Tokenizer ClassGemmaTokenizer
Padding Token<pad>
Vocabulary Size256000
Torch Data Typefloat32

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Note: green Score (e.g. "73.2") means that the model is better than richmondsin/finetuned-gemma-2-2b-output-layer-20-4k-7.

Rank the Finetuned Gemma 2 2B Output Layer 20 4K 7 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