Mistral Ielts Evaluation Base by chillies

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  Arxiv:1910.09700   4bit   Adapter Base model:adapter:unsloth/mis... Base model:unsloth/mistral-7b-...   Finetuned   Lora   Peft   Quantized   Region:us   Safetensors

Mistral Ielts Evaluation Base Benchmarks

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

Mistral Ielts Evaluation Base Parameters and Internals

LLM NameMistral Ielts Evaluation Base
Repository ๐Ÿค—https://huggingface.co/chillies/Mistral_ielts_evaluation_base 
Base Model(s)  Mistral 7B Bnb 4bit   unsloth/mistral-7b-bnb-4bit
Model Size7b
Required VRAM0.2 GB
Updated2024-11-21
Maintainerchillies
Model Files  0.2 GB
Quantization Type4bit
Model ArchitectureAdapter
Is Biasednone
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesup_proj|v_proj|q_proj|down_proj|k_proj|gate_proj|o_proj
LoRA Alpha32
LoRA Dropout0
R Param16
Mistral Ielts Evaluation Base (chillies/Mistral_ielts_evaluation_base)

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

Rank the Mistral Ielts Evaluation Base 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 v20241110