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Mistral 7B V0.3 SPARQL by PaDaS-Lab

 »  All LLMs  »  PaDaS-Lab  »  Mistral 7B V0.3 SPARQL   URL Share it on

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  Arxiv:1910.09700   Autotrain compatible   Conversational   Endpoints compatible   Instruct   Mistral   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/PaDaS-Lab/Mistral-7B-v0.3-SPARQL 

Mistral 7B V0.3 SPARQL Benchmarks

LLME Score: 0.19
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Mistral 7B V0.3 SPARQL (PaDaS-Lab/Mistral-7B-v0.3-SPARQL)

Mistral 7B V0.3 SPARQL Parameters and Internals

LLM NameMistral 7B V0.3 SPARQL
Repository 🤗https://huggingface.co/PaDaS-Lab/Mistral-7B-v0.3-SPARQL 
Model Size7b
Required VRAM29 GB
Updated2025-02-22
MaintainerPaDaS-Lab
Model Typemistral
Instruction-BasedYes
Model Files  5.0 GB: 1-of-6   4.9 GB: 2-of-6   5.0 GB: 3-of-6   5.0 GB: 4-of-6   4.8 GB: 5-of-6   4.3 GB: 6-of-6
Model ArchitectureMistralForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.41.1
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32768
Torch Data Typefloat32

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Note: green Score (e.g. "73.2") means that the model is better than PaDaS-Lab/Mistral-7B-v0.3-SPARQL.

Rank the Mistral 7B V0.3 SPARQL 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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Release v20241227
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