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Minerva 3B Base RAG by DeepMount00

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  Autotrain compatible   Dataset:deepmount00/gquad it   Endpoints compatible   It   Mistral   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/DeepMount00/Minerva-3B-base-RAG 

Minerva 3B Base RAG Benchmarks

LLME Score: 0.19196
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Minerva 3B Base RAG (DeepMount00/Minerva-3B-base-RAG)

Minerva 3B Base RAG Parameters and Internals

Model Type 
Fine-tuned Large Language Model (LLM)
Use Cases 
Primary Use Cases:
Retrieval-Augmented Generation applications
Additional Notes 
The model is fine-tuned for Question-Answering (QA) tasks.
Supported Languages 
it (proficient)
LLM NameMinerva 3B Base RAG
Repository 🤗https://huggingface.co/DeepMount00/Minerva-3B-base-RAG 
Model Size3b
Required VRAM5.8 GB
Updated2025-02-22
MaintainerDeepMount00
Model Typemistral
Model Files  5.0 GB: 1-of-2   0.8 GB: 2-of-2
Supported Languagesit
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length16384
Model Max Length16384
Transformers Version4.39.3
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32769
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than DeepMount00/Minerva-3B-base-RAG.

Rank the Minerva 3B Base RAG 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
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