Mistral 100M Textbooks by openaccess-ai-collective

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Mistral 100M Textbooks is an open-source language model by openaccess-ai-collective. Features: 100m LLM, VRAM: 0.5GB, Context: 32K, LLM Explorer Score: 0.1.

Dataset:emrgnt-cmplxty/sciphi-...   Endpoints compatible   Mistral   Pytorch   Region:us

Mistral 100M Textbooks Benchmarks

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

Mistral 100M Textbooks Parameters and Internals

Additional Notes 
This model is trained on textbooks and noted as not usable.
Training Details 
Data Sources:
emrgnt-cmplxty/sciphi-textbooks-are-all-you-need
LLM NameMistral 100M Textbooks
Repository 🤗https://huggingface.co/openaccess-ai-collective/mistral-100m-textbooks 
Model Size100m
Required VRAM0.5 GB
Updated2026-05-24
Maintaineropenaccess-ai-collective
Model Typemistral
Model Files  0.5 GB
Model ArchitectureMistralForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.34.0.dev0
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typefloat32

Best Alternatives to Mistral 100M Textbooks

Best Alternatives
Context / RAM
Downloads
Likes
Endurance 100B V1128K / 200.1 GB212
Endurance 100B V1.1128K / 200.2 GB23
Lazarus 2407 100B128K / 200.2 GB19
Dart V2 Sft1K / 0.2 GB9002
Dart V2 Base1K / 0.2 GB271
Note: green Score (e.g. "73.2") means that the model is better than openaccess-ai-collective/mistral-100m-textbooks.

Rank the Mistral 100M Textbooks 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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Release v20260328a