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Mistral 7B Instruct V0.2 Neural Story GPTQ by LoneStriker

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Mistral 7B Instruct V0.2 Neural Story GPTQ is an open-source language model by LoneStriker. Features: 7b LLM, VRAM: 4.6GB, Context: 32K, License: apache-2.0, Quantized, Instruction-Based, LLM Explorer Score: 0.12.

  4bit Base model:finetune:mistralai/... Base model:mistralai/mistral-7...   Conversational Dataset:neuralnovel/neural-sto...   En   Gptq   Instruct   Mistral   Quantized   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/LoneStriker/Mistral-7B-Instruct-v0.2-Neural-Story-GPTQ 

Mistral 7B Instruct V0.2 Neural Story GPTQ Benchmarks

LLME Score: 0.1186
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Mistral 7B Instruct V0.2 Neural Story GPTQ (LoneStriker/Mistral-7B-Instruct-v0.2-Neural-Story-GPTQ)
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Mistral 7B Instruct V0.2 Neural Story GPTQ Parameters and Internals

Model Type 
Language Model, Instructive, Narrative
Use Cases 
Areas:
Research, Commercial Applications
Primary Use Cases:
Creative Writing, Storytelling
Limitations:
Non-instructive scenarios
Considerations:
Model may not perform well in scenarios unrelated to instructive and narrative text generation.
Additional Notes 
Developed with support from Techmind.
Supported Languages 
en (Proficient)
Training Details 
Data Sources:
Neural-Story-v1
LLM NameMistral 7B Instruct V0.2 Neural Story GPTQ
Repository 🤗https://huggingface.co/LoneStriker/Mistral-7B-Instruct-v0.2-Neural-Story-GPTQ 
Base Model(s)  mistralai/Mistral-7B-Instruct-v0.2   mistralai/Mistral-7B-Instruct-v0.2
Model Size7b
Required VRAM4.6 GB
Updated2026-04-06
MaintainerLoneStriker
Model Typemistral
Instruction-BasedYes
Model Files  4.6 GB
Supported Languagesen
GPTQ QuantizationYes
Quantization Typegptq|4bit
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.37.2
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typefloat16

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Mistral 7B Instruct V0.3 GPTQ32K / 4.2 GB655511
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Mistral 7B Instruct V0.2 GPTQ32K / 4.2 GB4736054
...ral 7B Instruct V0.3 GPTQ 4bit32K / 4.2 GB294618
Mistral 7B Instruct V0.3 GPTQ32K / 4.2 GB60
...ral 7B Instruct V0.3 GPTQ 4bit32K / 4.2 GB60
...tral 7B Instruct 32K GPTQ INT832K / 7.7 GB31
...stral 7B Instruct V0.3 GPTQ 8B32K / 7.7 GB41
...stral 7B Instruct V0.3 GPTQ 4B32K / 4.2 GB50
Mistral 7B Instruct V0.2 GPTQ32K / 4.2 GB1241
Note: green Score (e.g. "73.2") means that the model is better than LoneStriker/Mistral-7B-Instruct-v0.2-Neural-Story-GPTQ.

Rank the Mistral 7B Instruct V0.2 Neural Story GPTQ 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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