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Trinity V1 by janai-hq

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  Autotrain compatible   En   Endpoints compatible   Mistral   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/janai-hq/trinity-v1 

Trinity V1 Benchmarks

ARC: 72.27 vs 96.7 (so35)-25.3%
HellaSwag: 88.36 vs 95.3 (gpt4)-7.3%
MMLU: 65.2 vs 88.3 (so35)-26.2%
TruthfulQA: 69.31 vs 59 (gpt4)17.5%
WinoGrande: 82 vs 87.5 (gpt4)-6.3%
GSM8K: 71.65 vs 96.4 (so35)-25.7%
LLME Score: 0.18616
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Trinity V1 (janai-hq/trinity-v1)

Trinity V1 Parameters and Internals

LLM NameTrinity V1
Repository 🤗https://huggingface.co/janai-hq/trinity-v1 
Model Size7b
Required VRAM14.5 GB
Updated2024-10-22
Maintainerjanai-hq
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 Version4.36.0
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than janai-hq/trinity-v1.

Rank the Trinity V1 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227
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