Tinyllama 1.8B Trismegistus by aloobun

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  8-bit   Autotrain compatible   Bitsandbytes Dataset:teknium/trismegistus-p...   Endpoints compatible   Llama   Pytorch   Region:us   Tinyllama

Tinyllama 1.8B Trismegistus Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
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Tinyllama 1.8B Trismegistus Parameters and Internals

Model Type 
text-generation
Additional Notes 
The model merges layers from different tinyllama models, focusing on specific layer ranges.
Training Details 
Data Sources:
teknium/trismegistus-project
Input Output 
Accepted Modalities:
text
LLM NameTinyllama 1.8B Trismegistus
Repository ๐Ÿค—https://huggingface.co/aloobun/tinyllama_1.8B_Trismegistus 
Model Size1.8b
Required VRAM1.9 GB
Updated2025-06-09
Maintaineraloobun
Model Typellama
Model Files  1.9 GB
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length2048
Model Max Length2048
Transformers Version4.33.0
Tokenizer ClassLlamaTokenizer
Vocabulary Size32003
Torch Data Typefloat16
Tinyllama 1.8B Trismegistus (aloobun/tinyllama_1.8B_Trismegistus)

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Note: green Score (e.g. "73.2") means that the model is better than aloobun/tinyllama_1.8B_Trismegistus.

Rank the Tinyllama 1.8B Trismegistus 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124