Swahili Gemma Vllm by GodsonNtungi

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  Autotrain compatible Base model:finetune:mollel/swa... Base model:mollel/swahili gemm...   Conversational   Endpoints compatible   Gemma   Pytorch   Region:us   Sharded   Sw   Trl   Unsloth

Swahili Gemma Vllm Benchmarks

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

Swahili Gemma Vllm Parameters and Internals

Model Type 
text-generation-inference, transformers
Additional Notes 
The model is modified to be deployable using vllm.
LLM NameSwahili Gemma Vllm
Repository ๐Ÿค—https://huggingface.co/GodsonNtungi/Swahili_Gemma_vllm 
Base Model(s)  Swahili Gemma   Mollel/Swahili_Gemma
Required VRAM17.1 GB
Updated2025-02-22
MaintainerGodsonNtungi
Model Typegemma
Model Files  5.0 GB: 1-of-4   5.0 GB: 2-of-4   5.0 GB: 3-of-4   2.1 GB: 4-of-4
Supported Languagessw
Model ArchitectureGemmaForCausalLM
Licenseapache-2.0
Context Length8192
Model Max Length8192
Transformers Version4.40.0
Tokenizer ClassGemmaTokenizer
Padding Token<pad>
Vocabulary Size256000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than GodsonNtungi/Swahili_Gemma_vllm.

Rank the Swahili Gemma Vllm 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227