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GaMS 27B by cjvt

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GaMS 27B is an open-source language model by cjvt. Features: 27b LLM, VRAM: 108.3GB, Context: 8K, License: gemma, LLM Explorer Score: 0.18.

Base model:finetune:google/gem...   Base model:google/gemma-2-27b   Bs   En   Endpoints compatible   Gemma2   Hr   Region:us   Safetensors   Sharded   Sl   Sr   Tensorflow
Model Card on HF 🤗: https://huggingface.co/cjvt/GaMS-27B 

GaMS 27B Benchmarks

LLME Score: 0.18134
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
GaMS 27B (cjvt/GaMS-27B)
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GaMS 27B Parameters and Internals

LLM NameGaMS 27B
Repository 🤗https://huggingface.co/cjvt/GaMS-27B 
Base Model(s)  Gemma 2 27B   google/gemma-2-27b
Model Size27b
Required VRAM108.3 GB
Updated2026-05-07
Maintainercjvt
Model Typegemma2
Model Files  5.0 GB: 1-of-24   4.5 GB: 2-of-24   4.5 GB: 3-of-24   4.5 GB: 4-of-24   4.5 GB: 5-of-24   4.5 GB: 6-of-24   4.5 GB: 7-of-24   4.5 GB: 8-of-24   4.5 GB: 9-of-24   4.5 GB: 10-of-24   4.5 GB: 11-of-24   4.5 GB: 12-of-24   4.5 GB: 13-of-24   4.5 GB: 14-of-24   4.5 GB: 15-of-24   4.5 GB: 16-of-24   4.5 GB: 17-of-24   4.5 GB: 18-of-24   4.5 GB: 19-of-24   4.5 GB: 20-of-24   4.5 GB: 21-of-24   4.5 GB: 22-of-24   4.5 GB: 23-of-24   4.3 GB: 24-of-24
Supported Languagessl en hr sr bs
Model ArchitectureGemma2ForCausalLM
Licensegemma
Context Length8192
Model Max Length8192
Transformers Version4.42.0.dev0
Tokenizer ClassGemmaTokenizer
Padding Token<pad>
Vocabulary Size256000
Torch Data Typefloat32

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Context / RAM
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ATOMIS32K / 66 GB106
SystemGemma2 27B It32K / 54.7 GB961
SystemGemma2 27B It32K / 54.7 GB73
Gemma 2 27B It8K / 54.7 GB45325565
Gemma 2 27B It8K / 54.7 GB11686
...izon AI Korean Avengers V3 27B8K / 54.8 GB110
...izon AI Korean Avengers V2 27B8K / 54.8 GB120
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...s Horizon AI Korean Superb 27B8K / 54.8 GB132
GemmaStock1 27B8K / 54.8 GB100
Note: green Score (e.g. "73.2") means that the model is better than cjvt/GaMS-27B.

Rank the GaMS 27B 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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