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Boptruth Agatha 7B by theprint

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Boptruth Agatha 7B is an open-source language model by theprint. Features: 7b LLM, VRAM: 14.4GB, Context: 32K, Quantized, LLM Explorer Score: 0.2.

  Boptruth   Conversational   Dataset:theprint/mysterywriter   En   Gguf   Gpt   H2o-llmstudio   Mistral   Model-index   Quantized   Region:us   Safetensors   Sharded   Tensorflow   Theprint
Model Card on HF 🤗: https://huggingface.co/theprint/Boptruth-Agatha-7B 

Boptruth Agatha 7B Benchmarks

MMLU Pro: 20.67
GPQA: 6.6
MUSR: 11.76
BBH: 29.29
IFEval: 31.24 vs 88 (so35)-64.5%
MATH Lvl 5: 5.51
LLME Score: 0.20248
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Boptruth Agatha 7B (theprint/Boptruth-Agatha-7B)
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Boptruth Agatha 7B Parameters and Internals

Model Type 
large language model, gpt
Use Cases 
Considerations:
Users are encouraged to use the model ethically and responsibly.
Training Details 
Data Sources:
MysteryWriter data set
Model Architecture:
MistralForCausalLM
Responsible Ai Considerations 
Fairness:
The model may generate biased, racist, or offensive content as it is trained on diverse internet text data.
Accountability:
Users assume full responsibility for use of the model.
Mitigation Strategies:
Feedback is encouraged to report biased or inappropriate content.
Input Output 
Accepted Modalities:
text
LLM NameBoptruth Agatha 7B
Repository 🤗https://huggingface.co/theprint/Boptruth-Agatha-7B 
Model Size7b
Required VRAM14.4 GB
Updated2026-03-29
Maintainertheprint
Model Typemistral
Model Files  14.5 GB   2.7 GB   3.5 GB   3.2 GB   4.4 GB   4.1 GB   5.1 GB   5.9 GB   7.7 GB   4.9 GB: 1-of-3   5.0 GB: 2-of-3   4.5 GB: 3-of-3
Supported Languagesen
GGUF QuantizationYes
Quantization Typegguf
Model ArchitectureMistralForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.38.0.dev0
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size32768
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than theprint/Boptruth-Agatha-7B.

Rank the Boptruth Agatha 7B 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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