Trinity 13B by WhiteRabbitNeo

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  Autotrain compatible   Codegen   Custom code   Endpoints compatible   Fp16   Llama   Pytorch   Quantized   Region:us   Sharded

Trinity 13B Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Trinity 13B (WhiteRabbitNeo/Trinity-13B)

Trinity 13B Parameters and Internals

Model Type 
Coding-specific, Autonomous agents
LLM NameTrinity 13B
Repository ๐Ÿค—https://huggingface.co/WhiteRabbitNeo/Trinity-13B 
Model Size13b
Required VRAM26 GB
Updated2024-12-21
MaintainerWhiteRabbitNeo
Model Typellama
Model Files  5.0 GB: 1-of-6   5.0 GB: 2-of-6   5.0 GB: 3-of-6   4.9 GB: 4-of-6   4.9 GB: 5-of-6   1.2 GB: 6-of-6
Quantization Typefp16
Generates CodeYes
Model ArchitectureLlamaForCausalLM
Licensellama2
Context Length16384
Model Max Length16384
Transformers Version4.36.2
Tokenizer ClassCodeLlamaTokenizer
Padding Token</s>
Vocabulary Size32016
Torch Data Typebfloat16

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Trinity 13B 3.0bpw H6 EXL216K / 5.2 GB101
Note: green Score (e.g. "73.2") means that the model is better than WhiteRabbitNeo/Trinity-13B.

Rank the Trinity 13B Capabilities

๐Ÿ†˜ 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! ๐ŸŒŸ

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 v20241217