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Continued Trained Gemma2 2B by ChallengerSpaceShuttle

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Continued Trained Gemma2 2B is an open-source language model by ChallengerSpaceShuttle. Features: 2b LLM, VRAM: 13.4GB, Context: 8K, License: gemma, LLM Explorer Score: 0.15.

Base model:finetune:google/gem...   Base model:google/gemma-2-2b Dataset:challengerspaceshuttle...   Gemma2   Pytorch   Region:us   Zu
Model Card on HF 🤗: https://huggingface.co/ChallengerSpaceShuttle/continued-trained-gemma2-2b 

Continued Trained Gemma2 2B Benchmarks

LLME Score: 0.15198
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Continued Trained Gemma2 2B (ChallengerSpaceShuttle/continued-trained-gemma2-2b)
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Continued Trained Gemma2 2B Parameters and Internals

Model Type 
text generation
Use Cases 
Primary Use Cases:
Generate coherent Zulu text
Additional Notes 
First iteration targeting IsiZulu models for comparable performance to high-cost training models.
Supported Languages 
Zulu (fluent)
Training Details 
Data Sources:
ChallengerSpaceShuttle/zulu-pretraining-dataset
Context Length:
8192
Hardware Used:
devices: auto, num_nodes: 1
Model Architecture:
Gemma2ForCausalLM
LLM NameContinued Trained Gemma2 2B
Repository 🤗https://huggingface.co/ChallengerSpaceShuttle/continued-trained-gemma2-2b 
Base Model(s)  Gemma 2 2B   google/gemma-2-2b
Model Size2b
Required VRAM13.4 GB
Updated2026-04-05
MaintainerChallengerSpaceShuttle
Model Typegemma2
Model Files  13.4 GB
Supported Languageszu
Model ArchitectureGemma2ForCausalLM
Licensegemma
Context Length8192
Model Max Length8192
Transformers Version4.42.4
Vocabulary Size288256
Torch Data Typefloat32

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Note: green Score (e.g. "73.2") means that the model is better than ChallengerSpaceShuttle/continued-trained-gemma2-2b.

Rank the Continued Trained Gemma2 2B 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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