Mistral 7B V0.3 Stepbasin Books 20K by BEE-spoke-data

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Mistral 7B V0.3 Stepbasin Books 20K is an open-source language model by BEE-spoke-data. Features: 7b LLM, VRAM: 14.5GB, Context: 32K, License: apache-2.0, LLM Explorer Score: 0.14.

Base model:finetune:mistralai/... Base model:mistralai/mistral-7... Dataset:bee-spoke-data/stepbas...   En   Endpoints compatible   Generated from trainer   Mistral   Region:us   Safetensors   Sharded   Tensorflow

Mistral 7B V0.3 Stepbasin Books 20K Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Mistral 7B V0.3 Stepbasin Books 20K Parameters and Internals

Additional Notes 
Fine-tuned for testing super-long text generation with consistent 8k+ token generation.
Supported Languages 
en (high)
Training Details 
Data Sources:
https://github.com/stepbasin/books/tree/master/books
Context Length:
20480
LLM NameMistral 7B V0.3 Stepbasin Books 20K
Repository 🤗https://huggingface.co/BEE-spoke-data/Mistral-7B-v0.3-stepbasin-books-20k 
Base Model(s)  mistralai/Mistral-7B-v0.3   mistralai/Mistral-7B-v0.3
Model Size7b
Required VRAM14.5 GB
Updated2026-02-07
MaintainerBEE-spoke-data
Model Typemistral
Model Files  5.0 GB: 1-of-3   5.0 GB: 2-of-3   4.5 GB: 3-of-3   0.0 GB
Supported Languagesen
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.42.4
Tokenizer ClassLlamaTokenizer
Vocabulary Size32768
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than BEE-spoke-data/Mistral-7B-v0.3-stepbasin-books-20k.

Rank the Mistral 7B V0.3 Stepbasin Books 20K 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