Swahili Gemma by Mollel

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  4bit   Autotrain compatible   Conversational   En   Endpoints compatible   Gemma   Pytorch   Quantized   Region:us   Sharded   Trl   Unsloth

Swahili Gemma Benchmarks

Swahili Gemma Parameters and Internals

LLM NameSwahili Gemma
Repository ๐Ÿค—https://huggingface.co/Mollel/Swahili_Gemma 
Base Model(s)  gemma-7b-bnb-4bit   /gemma-7b-bnb-4bit
Model Size7b
Required VRAM17.1 GB
Updated2024-09-18
MaintainerMollel
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 Languagesen
Quantization Type4bit
Model ArchitectureGemmaForCausalLM
Licenseapache-2.0
Context Length8192
Model Max Length8192
Transformers Version4.38.2
Tokenizer ClassGemmaTokenizer
Padding Token<pad>
Vocabulary Size256000
Torch Data Typefloat16
Swahili Gemma (Mollel/Swahili_Gemma)

Quantized Models of the Swahili Gemma

Model
Likes
Downloads
VRAM
DAD Model Gemma V3085 GB

Best Alternatives to Swahili Gemma

Best Alternatives
Context / RAM
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Likes
...t Cleaner Gemma 32k Merged 16b31K / 17.1 GB50
...ruct Malayalam Model Vllm 4bit16K / 5.6 GB60
Gemma 7B Bnb 4bit8K / 5.6 GB1464317
Fbt Gemma 7B8K / 17.1 GB60
Codegemma 7B It 8bit8K / 9.5 GB294
Codegemma 7B 4bit8K / 5.9 GB110
Codegemma 7B It 4bit8K / 5.9 GB51
Diff Codegemma 7B8K / 17.1 GB50
Gemma 1.1 7B It 4bit8K / 5.9 GB94
Gemma 1.1 7B It 4bit8K / 5.9 GB51
Note: green Score (e.g. "73.2") means that the model is better than Mollel/Swahili_Gemma.

Rank the Swahili Gemma 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 v2024072803