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Tess V2.5 Gemma 2 27B Alpha by migtissera

 »  All LLMs  »  migtissera  »  Tess V2.5 Gemma 2 27B Alpha   URL Share it on

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  Autotrain compatible   Conversational   Endpoints compatible   Gemma2   Pytorch   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/migtissera/Tess-v2.5-Gemma-2-27B-alpha 

Tess V2.5 Gemma 2 27B Alpha Benchmarks

LLME Score: 0.2524
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Tess V2.5 Gemma 2 27B Alpha (migtissera/Tess-v2.5-Gemma-2-27B-alpha)

Tess V2.5 Gemma 2 27B Alpha Parameters and Internals

Model Type 
fine-tuned
Additional Notes 
Great at reasoning, but woke as fuck! This is a fine-tune over the Gemma-2-27B-it, since the base model fine-tuning is not generating coherent content.
LLM NameTess V2.5 Gemma 2 27B Alpha
Repository 🤗https://huggingface.co/migtissera/Tess-v2.5-Gemma-2-27B-alpha 
Model Size27b
Required VRAM57 GB
Updated2025-01-22
Maintainermigtissera
Model Typegemma2
Model Files  4.7 GB: 1-of-12   4.9 GB: 2-of-12   4.9 GB: 3-of-12   5.0 GB: 4-of-12   4.9 GB: 5-of-12   4.9 GB: 6-of-12   5.0 GB: 7-of-12   4.9 GB: 8-of-12   4.9 GB: 9-of-12   5.0 GB: 10-of-12   4.9 GB: 11-of-12   3.0 GB: 12-of-12
Model ArchitectureGemma2ForCausalLM
Licensegemma
Context Length8192
Model Max Length8192
Transformers Version4.42.3
Tokenizer ClassGemmaTokenizer
Padding Token<pad>
Vocabulary Size256000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than migtissera/Tess-v2.5-Gemma-2-27B-alpha.

Rank the Tess V2.5 Gemma 2 27B Alpha 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 v20241227
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