Test Smallchunks by DariaaaS

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  4-bit   Adapter Base model:thebloke/mistral-7b...   Finetuned   Generated from trainer   Gptq   Instruct   License:apache-2.0   Lora   Mistral   Peft   Quantized   Region:us   Safetensors   Tensorboard

Rank the Test Smallchunks 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  
Test Smallchunks (DariaaaS/test_smallchunks)

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HF Rank
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Mistral Numericnlg FV0K / 0.3 GB90
Note: green Score (e.g. "73.2") means that the model is better than DariaaaS/test_smallchunks.

Test Smallchunks Parameters and Internals

LLM NameTest Smallchunks
RepositoryOpen on ๐Ÿค— 
Base Model(s)  Mistral 7B Instruct V0.2 GPTQ   TheBloke/Mistral-7B-Instruct-v0.2-GPTQ
Model Size7b
Required VRAM0 GB
Model Files  0.0 GB   0.0 GB
GPTQ QuantizationYes
Quantization Typegptq
Model ArchitectureAdapter
Is Biasednone
LoRA ModelYes
PEFT Target Modulesv_proj|k_proj|o_proj|q_proj
LoRA Alpha32
LoRA Dropout0.05
R Param8

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024042801