Mistral Scary Story Finetune by erdiari

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Mistral Scary Story Finetune is an open-source language model by erdiari. Features: 7b LLM, VRAM: 14.5GB, Context: 32K, License: apache-2.0, Quantized, Fine-Tuned, LLM Explorer Score: 0.15.

  Endpoints compatible   F16   Finetuned   Ggml   Gguf   Mistral   Q4   Quantized   Region:us   Safetensors   Sharded   Tensorflow

Mistral Scary Story Finetune Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Mistral Scary Story Finetune (erdiari/Mistral-Scary-Story-Finetune)
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Mistral Scary Story Finetune Parameters and Internals

LLM NameMistral Scary Story Finetune
Repository ๐Ÿค—https://huggingface.co/erdiari/Mistral-Scary-Story-Finetune 
Model Size7b
Required VRAM14.5 GB
Updated2026-04-03
Maintainererdiari
Model Typemistral
Model Files  14.5 GB   4.1 GB   7.7 GB   4.0 GB: 1-of-4   3.9 GB: 2-of-4   3.9 GB: 3-of-4   2.7 GB: 4-of-4
GGML QuantizationYes
GGUF QuantizationYes
Quantization Typeggml|q4|gguf
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.37.2
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than erdiari/Mistral-Scary-Story-Finetune.

Rank the Mistral Scary Story Finetune 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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Release v20260328a