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Mistral Instruct Classify30k by greatakela

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  Autotrain compatible Base model:finetune:mistralai/... Base model:mistralai/mistral-7...   Conversational   Endpoints compatible   Generated from trainer   Instruct   Lora   Mistral   Region:us   Safetensors   Sharded   Tensorflow

Mistral Instruct Classify30k Benchmarks

LLME Score: 0.17482
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Mistral Instruct Classify30k Parameters and Internals

LLM NameMistral Instruct Classify30k
Repository 🤗https://huggingface.co/greatakela/mistral_instruct_classify30k 
Base Model(s)  mistralai/Mistral-7B-Instruct-v0.1   mistralai/Mistral-7B-Instruct-v0.1
Model Size7b
Required VRAM28.9 GB
Updated2024-09-07
Maintainergreatakela
Instruction-BasedYes
Model Files  0.2 GB   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   4.2 GB: 6-of-6   0.0 GB
Model ArchitectureAutoModelForCausalLM
Licenseapache-2.0
Is Biasednone
Tokenizer ClassLlamaTokenizer
Padding Token</s>
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesk_proj|q_proj|o_proj|v_proj
LoRA Alpha16
LoRA Dropout0.1
R Param64
Mistral Instruct Classify30k (greatakela/mistral_instruct_classify30k)

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Note: green Score (e.g. "73.2") means that the model is better than greatakela/mistral_instruct_classify30k.

Rank the Mistral Instruct Classify30k 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 v2024072803
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