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Trinity Mini Base by arcee-ai

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Trinity Mini Base is an open-source language model by arcee-ai. Features: 26.1b LLM, VRAM: 52.3GB, Context: 128K, License: apache-2.0, LLM Explorer Score: 0.25.

  Afmoe   Ar Base model:arcee-ai/trinity-mi... Base model:finetune:arcee-ai/t...   Conversational   Custom code   De   En   Endpoints compatible   Es   Fr   Hi   It   Ko   Pt   Region:us   Ru   Safetensors   Sharded   Tensorflow   Zh
Model Card on HF 🤗: https://huggingface.co/arcee-ai/Trinity-Mini-Base 

Trinity Mini Base Benchmarks

LLME Score: 0.24936
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Trinity Mini Base (arcee-ai/Trinity-Mini-Base)
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Trinity Mini Base Parameters and Internals

LLM NameTrinity Mini Base
Repository 🤗https://huggingface.co/arcee-ai/Trinity-Mini-Base 
Base Model(s)  Trinity Mini Base Pre Anneal   arcee-ai/Trinity-Mini-Base-Pre-Anneal
Model Size26.1b
Required VRAM52.3 GB
Updated2026-05-30
Maintainerarcee-ai
Model Typeafmoe
Model Files  2.0 GB: 1-of-27   2.0 GB: 2-of-27   2.0 GB: 3-of-27   2.0 GB: 4-of-27   2.0 GB: 5-of-27   2.0 GB: 6-of-27   2.0 GB: 7-of-27   2.0 GB: 8-of-27   2.0 GB: 9-of-27   2.0 GB: 10-of-27   2.0 GB: 11-of-27   2.0 GB: 12-of-27   2.0 GB: 13-of-27   2.0 GB: 14-of-27   2.0 GB: 15-of-27   2.0 GB: 16-of-27   2.0 GB: 17-of-27   2.0 GB: 18-of-27   2.0 GB: 19-of-27   2.0 GB: 20-of-27   2.0 GB: 21-of-27   2.0 GB: 22-of-27   2.0 GB: 23-of-27   2.0 GB: 24-of-27   2.0 GB: 25-of-27   1.5 GB: 26-of-27   0.8 GB: 27-of-27
Supported Languagesen es fr de it pt ru ar hi ko zh
Model ArchitectureAfmoeForCausalLM
Licenseapache-2.0
Context Length131072
Model Max Length131072
Transformers Version4.57.0.dev0
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|pad|>
Vocabulary Size200192

Best Alternatives to Trinity Mini Base

Best Alternatives
Context / RAM
Downloads
Likes
Trinity Mini128K / 52.3 GB14519190
Trinity Mini Base Pre Anneal4K / 52.3 GB6714
Note: green Score (e.g. "73.2") means that the model is better than arcee-ai/Trinity-Mini-Base.

Rank the Trinity Mini Base 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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