Trinity Mini Base is an open-source language model by arcee-ai. Features: 26.1b LLM, VRAM: 52.3GB, Context: 128K, License: other, LLM Explorer Score: 0.25.
| LLM Name | Trinity Mini Base |
| Repository π€ | https://huggingface.co/arcee-ai/Trinity-Mini-Base |
| Base Model(s) | |
| Model Size | 26.1b |
| Required VRAM | 52.3 GB |
| Updated | 2026-07-25 |
| Maintainer | arcee-ai |
| Model Type | afmoe |
| Model Files | |
| Supported Languages | en es fr de it pt ru ar hi ko zh |
| Model Architecture | AfmoeForCausalLM |
| License | other |
| Context Length | 131072 |
| Model Max Length | 131072 |
| Transformers Version | 4.57.0.dev0 |
| Tokenizer Class | PreTrainedTokenizerFast |
| Padding Token | <|pad|> |
| Vocabulary Size | 200192 |
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Trinity Mini | 128K / 52.3 GB | 25533 | 198 |
| Trinity Mini FP8 Block | 128K / 27.8 GB | 237 | 2 |
| Trinity Mini Base Pre Anneal | 4K / 52.3 GB | 247 | 14 |