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Neural Mistral 7B by Corianas

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Neural Mistral 7B is an open-source language model by Corianas. Features: 7b LLM, VRAM: 14.4GB, Context: 32K, License: apache-2.0, Instruction-Based, HF Score: 65.7, LLM Explorer Score: 0.19, Arc: 63.4, HellaSwag: 85.6, MMLU: 60.9, TruthfulQA: 69.3, WinoGrande: 77.4, GSM8K: 37.5.

  Arxiv:1910.09700   Autotrain compatible   Conversational   Dataset:intel/orca dpo pairs   En   Endpoints compatible   Instruct   Mistral   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Corianas/Neural-Mistral-7B 

Neural Mistral 7B Benchmarks

MMLU Pro: 19.31
GPQA: 4.47
MUSR: 6.21
BBH: 22.43
IFEval: 54.89 vs 88 (so35)-37.6%
ARC: 63.4 vs 96.7 (so35)-34.4%
HellaSwag: 85.59 vs 95.3 (gpt4)-10.2%
MMLU: 60.92 vs 88.3 (so35)-31%
TruthfulQA: 69.26 vs 59 (gpt4)17.4%
WinoGrande: 77.43 vs 87.5 (gpt4)-11.5%
GSM8K: 37.53 vs 96.4 (so35)-61.1%
MATH Lvl 5: 1.89
LLME Score: 0.18829
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Neural Mistral 7B (Corianas/Neural-Mistral-7B)
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Neural Mistral 7B Parameters and Internals

Model Type 
:text-generation
Use Cases 
Areas:
More Information Needed
Applications:
More Information Needed
Primary Use Cases:
More Information Needed
Limitations:
More Information Needed
Considerations:
More Information Needed
Additional Notes 
More Information Needed
Supported Languages 
en (unknown)
Training Details 
Data Sources:
Intel/orca_dpo_pairs
Methodology:
Direct Preference Optimization (DPO)
Model Architecture:
Grouped-Query Attention, Sliding-Window Attention, Byte-fallback BPE tokenizer
Input Output 
Input Format:
Prompts should be surrounded by [INST] and [/INST] tokens.
LLM NameNeural Mistral 7B
Repository 🤗https://huggingface.co/Corianas/Neural-Mistral-7B 
Model Size7b
Required VRAM14.4 GB
Updated2025-08-15
MaintainerCorianas
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
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.38.1
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typefloat16

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

Rank the Neural Mistral 7B 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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