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Mistral 7B SlimOrca by Open-Orca

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Mistral 7B SlimOrca is an open-source language model by Open-Orca. Features: 7b LLM, VRAM: 14.4GB, Context: 32K, License: apache-2.0, HF Score: 60.4, LLM Explorer Score: 0.13, Arc: 62.5, HellaSwag: 83.9, MMLU: 62.8, TruthfulQA: 54.2, WinoGrande: 77.4, GSM8K: 21.4.

  Arxiv:2301.13688   Arxiv:2306.02707   Dataset:open-orca/slimorca   En   Endpoints compatible   Mistral   Pytorch   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/Open-Orca/Mistral-7B-SlimOrca 

Mistral 7B SlimOrca Benchmarks

ARC: 62.54 vs 96.7 (so35)-35.3%
HellaSwag: 83.86 vs 95.3 (gpt4)-12%
MMLU: 62.77 vs 88.3 (so35)-28.9%
TruthfulQA: 54.23 vs 59 (gpt4)-8.1%
WinoGrande: 77.43 vs 87.5 (gpt4)-11.5%
GSM8K: 21.38 vs 96.4 (so35)-77.8%
LLME Score: 0.13116
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Mistral 7B SlimOrca (Open-Orca/Mistral-7B-SlimOrca)
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Mistral 7B SlimOrca Parameters and Internals

Model Type 
text generation
Use Cases 
Areas:
research, demonstration
Applications:
text generation
Additional Notes 
This model is a slim data version achieving performance on-par with larger data slices. It is a demonstration of efficient data curation using GPT-4 to filter and correct training data.
Training Details 
Data Sources:
OpenOrca dataset, GPT-4 augmented data, FLAN dataset
Data Volume:
~500k entries
Methodology:
Fine-tuned on filtered and corrected dataset
Training Time:
40 hours
Hardware Used:
8x A6000 GPUs
Input Output 
Input Format:
OpenAI's Chat Markup Language (ChatML)
Accepted Modalities:
text
Output Format:
text
Performance Tips:
Use pre-defined Transformers chat template for formatting.
Release Notes 
Version:
Pre-release
Notes:
Demo model demonstrating performance with SlimOrca dataset.
LLM NameMistral 7B SlimOrca
Repository 🤗https://huggingface.co/Open-Orca/Mistral-7B-SlimOrca 
Model Size7b
Required VRAM14.4 GB
Updated2026-01-07
MaintainerOpen-Orca
Model Typemistral
Model Files  9.9 GB: 1-of-2   4.5 GB: 2-of-2
Supported Languagesen
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.35.0.dev0
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32002
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than Open-Orca/Mistral-7B-SlimOrca.

Rank the Mistral 7B SlimOrca Capabilities

🆘 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! 🌟

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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