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Mistral7B MatheoAI8 Lora by KakaoL0L

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  4bit   Autotrain compatible Base model:finetune:unsloth/mi... Base model:unsloth/mistral-7b-...   Conversational   En   Endpoints compatible   Instruct   Lora   Mistral   Quantized   Region:us   Safetensors   Sft   Sharded   Tensorflow   Trl   Unsloth
Model Card on HF 🤗: https://huggingface.co/KakaoL0L/Mistral7B_MatheoAI8_lora 

Mistral7B MatheoAI8 Lora Benchmarks

LLME Score: 0.2041
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Mistral7B MatheoAI8 Lora (KakaoL0L/Mistral7B_MatheoAI8_lora)

Mistral7B MatheoAI8 Lora Parameters and Internals

Model Type 
text-generation-inference, transformers
Additional Notes 
This model was trained faster using Unsloth and Huggingface's TRL library.
Supported Languages 
en (NA)
Training Details 
Training Time:
2x faster
LLM NameMistral7B MatheoAI8 Lora
Repository 🤗https://huggingface.co/KakaoL0L/Mistral7B_MatheoAI8_lora 
Base Model(s)  unsloth/mistral-7b-instruct-v0.2-bnb-4bit   unsloth/mistral-7b-instruct-v0.2-bnb-4bit
Model Size7b
Required VRAM14.4 GB
Updated2025-01-15
MaintainerKakaoL0L
Model Typemistral
Instruction-BasedYes
Model Files  4.9 GB: 1-of-3   5.0 GB: 2-of-3   4.5 GB: 3-of-3
Supported Languagesen
Quantization Type4bit
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.41.2
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size32000
LoRA ModelYes
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than KakaoL0L/Mistral7B_MatheoAI8_lora.

Rank the Mistral7B MatheoAI8 Lora 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 v20241227
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