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Mistral V0.3 7B ORPO by llmat

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  4bit   Autotrain compatible Base model:finetune:unsloth/mi... Base model:unsloth/mistral-7b-...   Conversational   En   Endpoints compatible   Mistral   Orpo   Quantized   Region:us   Safetensors   Sharded   Tensorflow   Trl   Unsloth

Mistral V0.3 7B ORPO Benchmarks

MMLU Pro: 14.46
GPQA: 2.57
MUSR: 2.97
BBH: 15.59
IFEval: 36.4 vs 88 (so35)-58.6%
MATH Lvl 5: 0.15
LLME Score: 0.26224
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Mistral V0.3 7B ORPO Parameters and Internals

Model Type 
text-generation-inference, transformers, orpo
Supported Languages 
en (Supported)
Training Details 
Methodology:
Unsloth and Huggingface's TRL library
Training Time:
2x faster with Unsloth
LLM NameMistral V0.3 7B ORPO
Repository 🤗https://huggingface.co/llmat/Mistral-v0.3-7B-ORPO 
Base Model(s)  unsloth/mistral-7b-v0.3-bnb-4bit   unsloth/mistral-7b-v0.3-bnb-4bit
Model Size7b
Required VRAM14.5 GB
Updated2024-11-21
Maintainerllmat
Model Typemistral
Model Files  5.0 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 Version4.43.3
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size32768
Torch Data Typebfloat16
Mistral V0.3 7B ORPO (llmat/Mistral-v0.3-7B-ORPO)

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Note: green Score (e.g. "73.2") means that the model is better than llmat/Mistral-v0.3-7B-ORPO.

Rank the Mistral V0.3 7B ORPO 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
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