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SpydazWeb AI Swahili Project by LeroyDyer

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SpydazWeb AI Swahili Project is an open-source language model by LeroyDyer. Features: 7.2b LLM, VRAM: 14.4GB, Context: 32K, License: mit, LLM Explorer Score: 0.13.

Dataset:rogendo/english-swahil...   Dataset:uonlp/culturax   En   Endpoints compatible   Mistral   Region:us   Safetensors   Sharded   Sw   Tensorflow
Model Card on HF 🤗: https://huggingface.co/LeroyDyer/SpydazWeb_AI_Swahili_Project 

SpydazWeb AI Swahili Project Benchmarks

LLME Score: 0.12756
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
SpydazWeb AI Swahili Project (LeroyDyer/SpydazWeb_AI_Swahili_Project)
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SpydazWeb AI Swahili Project Parameters and Internals

Additional Notes 
This model is updated for RAG tasks in Swahili or English and undergoes fine-tuning stages, including merging and retuning stages. It is designed to apply LoRA adapters from the hub and can be set to train mode: model.train()
Supported Languages 
en (primary), sw (primary)
Training Details 
Data Sources:
uonlp/CulturaX, Rogendo/English-Swahili-Sentence-Pairs
Methodology:
RAG, tasks in Swahili or English, programming, school works, bible, and sacred historical texts
LLM NameSpydazWeb AI Swahili Project
Repository 🤗https://huggingface.co/LeroyDyer/SpydazWeb_AI_Swahili_Project 
Model Size7.2b
Required VRAM14.4 GB
Updated2026-04-19
MaintainerLeroyDyer
Model Typemistral
Model Files  4.9 GB: 1-of-3   5.0 GB: 2-of-3   4.5 GB: 3-of-3
Supported Languagesen sw
Model ArchitectureMistralForCausalLM
Licensemit
Context Length32768
Model Max Length32768
Transformers Version4.41.2
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size32000
Torch Data Typebfloat16

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

Rank the SpydazWeb AI Swahili Project 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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