Uma Model Gemma Finetuned2 by Americo

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Uma Model Gemma Finetuned2 is an open-source language model by Americo. Features: 2b LLM, VRAM: 2.2GB, Context: 8K, LLM Explorer Score: 0.14.

  Arxiv:1910.09700   4-bit   Autotrain compatible   Bitsandbytes   Conversational   Endpoints compatible   Gemma   Pytorch   Region:us

Uma Model Gemma Finetuned2 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Uma Model Gemma Finetuned2 (Americo/uma_model_gemma_finetuned2)
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Uma Model Gemma Finetuned2 Parameters and Internals

LLM NameUma Model Gemma Finetuned2
Repository ๐Ÿค—https://huggingface.co/Americo/uma_model_gemma_finetuned2 
Model Size2b
Required VRAM2.2 GB
Updated2025-09-29
MaintainerAmerico
Model Typegemma
Model Files  2.2 GB
Model ArchitectureGemmaForCausalLM
Context Length8192
Model Max Length8192
Transformers Version4.41.2
Tokenizer ClassGemmaTokenizer
Padding Token<pad>
Vocabulary Size256000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than Americo/uma_model_gemma_finetuned2.

Rank the Uma Model Gemma Finetuned2 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