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General Stories Mistral 7B by ajibawa-2023

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  Art   Autotrain compatible   Conversational Dataset:ajibawa-2023/general-s...   En   Endpoints compatible   General audience   Knowledge   Mistral   Pytorch   Region:us   Sharded   Story
Model Card on HF 🤗: https://huggingface.co/ajibawa-2023/General-Stories-Mistral-7B 

General Stories Mistral 7B Benchmarks

ARC: 67.41 vs 96.7 (so35)-30.3%
HellaSwag: 83.25 vs 95.3 (gpt4)-12.6%
MMLU: 64.13 vs 88.3 (so35)-27.4%
TruthfulQA: 58.37 vs 59 (gpt4)-1.1%
WinoGrande: 79.32 vs 87.5 (gpt4)-9.3%
GSM8K: 61.33 vs 96.4 (so35)-36.4%
LLME Score: 0.16923
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
General Stories Mistral 7B (ajibawa-2023/General-Stories-Mistral-7B)
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General Stories Mistral 7B Parameters and Internals

Model Type 
story generation
Use Cases 
Areas:
general audience
Applications:
storytelling, art, creating narratives
Primary Use Cases:
Generating captivating narratives, Evoking emotion, Sparking imagination
Additional Notes 
This is the qLoRA version and special acknowledgment to Bartowski for quantization.
Supported Languages 
en (proficient)
Training Details 
Data Sources:
ajibawa-2023/General-Stories-Collection
Data Volume:
1.3 million stories
Methodology:
Synthetic dataset training
Training Time:
more than 15 days
Hardware Used:
4 x A100 80GB
Input Output 
Input Format:
ChatML
Accepted Modalities:
text
Output Format:
text
Performance Tips:
The prompt can be modified as required to improve model performance.
LLM NameGeneral Stories Mistral 7B
Repository 🤗https://huggingface.co/ajibawa-2023/General-Stories-Mistral-7B 
Model Size7b
Required VRAM14.4 GB
Updated2025-07-30
Maintainerajibawa-2023
Model Typemistral
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 Version4.40.0.dev0
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size32000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than ajibawa-2023/General-Stories-Mistral-7B.

Rank the General Stories 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  
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Multi-Language Support and Translation  

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124
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