MistralRAG by VanCoder

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MistralRAG Benchmarks

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

MistralRAG Parameters and Internals

LLM NameMistralRAG
Repository ๐Ÿค—https://huggingface.co/VanCoder/MistralRAG 
Model Size7.2b
Required VRAM14.4 GB
Updated2024-09-07
MaintainerVanCoder
Model Files  0.2 GB   4.9 GB: 1-of-3   5.0 GB: 2-of-3   4.5 GB: 3-of-3   0.0 GB
Model ArchitectureAutoModelForCausalLM
Licenseother
Is Biasednone
Tokenizer ClassLlamaTokenizer
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesgate_proj|up_proj|q_proj|v_proj|k_proj|down_proj|o_proj
LoRA Alpha32
LoRA Dropout0.05
R Param16
MistralRAG (VanCoder/MistralRAG)

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

Rank the MistralRAG Capabilities

๐Ÿ†˜ Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! ๐ŸŒŸ

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