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Trinity V1.2 by jan-hq

 »  All LLMs  »  jan-hq  »  Trinity V1.2   URL Share it on

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  Autotrain compatible   Conversational   En   Endpoints compatible   Merge   Mistral   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/jan-hq/trinity-v1.2 

Trinity V1.2 Benchmarks

LLME Score: 0.12672
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Trinity V1.2 (jan-hq/trinity-v1.2)
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Trinity V1.2 Parameters and Internals

Model Type 
text generation
Use Cases 
Areas:
Personal Assistant, Research, Business Automation
Considerations:
Ensure understanding of context and nuances in conversation.
Additional Notes 
This model is a finetuned version, adapted for specific AI interaction styles.
Supported Languages 
en (proficient)
Training Details 
Data Sources:
ultrafeedback_binarized_subset
Methodology:
finetuning
Input Output 
Input Format:
ChatML prompt format
Accepted Modalities:
text
Output Format:
text response
Performance Tips:
Use optimal prompt structures to ensure clarity and reduce ambiguity.
LLM NameTrinity V1.2
Repository 🤗https://huggingface.co/jan-hq/trinity-v1.2 
Model Size7.2b
Required VRAM14.4 GB
Updated2025-09-23
Maintainerjan-hq
Model Typemistral
Model Files  4.9 GB: 1-of-3   5.0 GB: 2-of-3   4.5 GB: 3-of-3
Supported Languagesen
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.35.0
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than jan-hq/trinity-v1.2.

Rank the Trinity V1.2 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 v20241124
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