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Trinity 13B 3.0bpw H6 EXL2 by LoneStriker

 »  All LLMs  »  LoneStriker  »  Trinity 13B 3.0bpw H6 EXL2   URL Share it on

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  Autotrain compatible   Codegen   Custom code   Endpoints compatible   Exl2   Fp16   Llama   Pytorch   Quantized   Region:us
Model Card on HF 🤗: https://huggingface.co/LoneStriker/Trinity-13B-3.0bpw-h6-exl2 

Trinity 13B 3.0bpw H6 EXL2 Benchmarks

LLME Score: 0.16539
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Trinity 13B 3.0bpw H6 EXL2 (LoneStriker/Trinity-13B-3.0bpw-h6-exl2)

Trinity 13B 3.0bpw H6 EXL2 Parameters and Internals

Model Type 
autonomous agents, text generation
Use Cases 
Areas:
research, commercial applications
Applications:
autonomous agent creation
LLM NameTrinity 13B 3.0bpw H6 EXL2
Repository 🤗https://huggingface.co/LoneStriker/Trinity-13B-3.0bpw-h6-exl2 
Model Size13b
Required VRAM5.2 GB
Updated2024-12-21
MaintainerLoneStriker
Model Typellama
Model Files  5.2 GB
Quantization Typefp16|exl2
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 6.0bpw H6 EXL216K / 10 GB92
Trinity 13B 5.0bpw H6 EXL216K / 8.4 GB131
Note: green Score (e.g. "73.2") means that the model is better than LoneStriker/Trinity-13B-3.0bpw-h6-exl2.

Rank the Trinity 13B 3.0bpw H6 EXL2 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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Release v20241217
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