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GaMS 2B Instruct by cjvt

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GaMS 2B Instruct is an open-source language model by cjvt. Features: 2b LLM, VRAM: 5.2GB, Context: 8K, License: gemma, Instruction-Based, LLM Explorer Score: 0.19.

  Base model:cjvt/gams-2b Base model:finetune:cjvt/gams-...   Bs   Conversational   En   Gemma2   Hr   Instruct   Region:us   Safetensors   Sharded   Sl   Sr   Tensorflow
Model Card on HF 🤗: https://huggingface.co/cjvt/GaMS-2B-Instruct 

GaMS 2B Instruct Benchmarks

LLME Score: 0.18786
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
GaMS 2B Instruct (cjvt/GaMS-2B-Instruct)
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GaMS 2B Instruct Parameters and Internals

LLM NameGaMS 2B Instruct
Repository 🤗https://huggingface.co/cjvt/GaMS-2B-Instruct 
Base Model(s)  GaMS 2B   cjvt/GaMS-2B
Model Size2b
Required VRAM5.2 GB
Updated2026-05-26
Maintainercjvt
Model Typegemma2
Instruction-BasedYes
Model Files  1.2 GB: 1-of-2   4.0 GB: 2-of-2
Supported Languagessl en hr sr bs
Model ArchitectureGemma2ForCausalLM
Licensegemma
Context Length8192
Model Max Length8192
Transformers Version4.50.0.dev0
Tokenizer ClassGemmaTokenizer
Padding Token<pad>
Vocabulary Size256000
Torch Data Typebfloat16

Best Alternatives to GaMS 2B Instruct

Best Alternatives
Context / RAM
Downloads
Likes
SILMA Kashif 2B Instruct V1.012K / 5.2 GB231524
Gemma2b Nirf Lookup 20258K / 5.2 GB50
Gemma 2 2B Opus Instruct8K / 5.2 GB132
Gemma 2 2b Instruction8K / 5.2 GB450
Gemma 2 2B It Instruction8K / 5.2 GB840
Gemma 2 2B It Coding8K / 5.2 GB130
Gemma 2 2b Coding8K / 5.2 GB120
Gemma 2 2B Neogenesis Ita8K / 5.2 GB11976
Code Trans Gemma 2 2B Sft8K / 5.2 GB70
Gemma 2 2B Instruct8K / 5.2 GB60
Note: green Score (e.g. "73.2") means that the model is better than cjvt/GaMS-2B-Instruct.

Rank the GaMS 2B Instruct 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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