Gemma 31B Sft 250 by harisarang

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Gemma 31B Sft 250 is an open-source language model by harisarang. Features: 31b LLM, VRAM: 62.5GB, LLM Explorer Score: 0.29.

  Gemma4   Region:us   Safetensors   Sharded   Tensorflow

Gemma 31B Sft 250 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Gemma 31B Sft 250 Parameters and Internals

LLM NameGemma 31B Sft 250
Repository 🤗https://huggingface.co/harisarang/gemma-31b-sft-250 
Model Size31b
Required VRAM62.5 GB
Updated2026-04-29
Maintainerharisarang
Model Typegemma4
Model Files  49.9 GB: 1-of-2   12.6 GB: 2-of-2
Model ArchitectureGemma4ForConditionalGeneration
Transformers Version5.5.4
Tokenizer ClassGemmaTokenizer
Padding Token<pad>

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Note: green Score (e.g. "73.2") means that the model is better than harisarang/gemma-31b-sft-250.

Rank the Gemma 31B Sft 250 Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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