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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

LLME Score: 0.18628
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Trinity 13B Parameters and Internals

LLM NameTrinity 13B
Repository 🤗https://huggingface.co/WhiteRabbitNeo/Trinity-13B 
Model Size13b
Required VRAM26 GB
Updated2024-09-07
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
Trinity 13B (WhiteRabbitNeo/Trinity-13B)

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WhiteRabbitNeo 13B V116K / 26 GB1425379
CodeLlama 13B Python Fp1616K / 26 GB142325
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...Llama 13B Instruct Hf 4bit MLX16K / 7.8 GB92
CodeLlama 13B Fp1616K / 26 GB2166
...13B Instruct Nf4 Fp16 Upscaled16K / 26 GB4100
Trinity 13B 6.0bpw H6 EXL216K / 10 GB42
Trinity 13B 3.0bpw H6 EXL216K / 5.2 GB51
Trinity 13B 4.0bpw H6 EXL216K / 6.8 GB41
Note: green Score (e.g. "73.2") means that the model is better than WhiteRabbitNeo/Trinity-13B.

Rank the Trinity 13B 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 v2024072803
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