Sillyrp 7B by nonetrix

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Sillyrp 7B is an open-source language model by nonetrix. Features: 7b LLM, VRAM: 14.5GB, Context: 32K, License: apache-2.0, Merged, LLM Explorer Score: 0.13, Arc: 64.9, HellaSwag: 85.3, MMLU: 64.2, GSM8K: 59.1.

  Merged Model   Arxiv:2212.04089   Autotrain compatible   En   Endpoints compatible   Mistral   Not-for-all-audiences   Region:us   Safetensors   Sharded   Tensorflow

Sillyrp 7B Benchmarks

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

Sillyrp 7B Parameters and Internals

LLM NameSillyrp 7B
Repository 🤗https://huggingface.co/nonetrix/sillyrp-7b 
Merged ModelYes
Model Size7b
Required VRAM14.5 GB
Updated2025-09-23
Maintainernonetrix
Model Typemistral
Model Files  10.0 GB: 1-of-2   4.5 GB: 2-of-2
Supported Languagesen
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.38.1
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32002
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than nonetrix/sillyrp-7b.

Rank the Sillyrp 7B 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