Trinity Nano Base Pre Anneal is an open-source language model by arcee-ai. Features: 6.1b LLM, VRAM: 12.2GB, Context: 4K, License: apache-2.0, LLM Explorer Score: 0.23.
Afmoe Ar 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-Nano-Base-Pre-Anneal
Trinity Nano Base Pre Anneal Benchmarks
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
What is the LLM Explorer Rank (Score)
Trinity Nano Base Pre Anneal Parameters and Internals
| LLM Name | Trinity Nano Base Pre Anneal |
| Repository 🤗 | https://huggingface.co/arcee-ai/Trinity-Nano-Base-Pre-Anneal |
| Model Size | 6.1b |
| Required VRAM | 12.2 GB |
| Updated | 2026-05-15 |
| 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 | apache-2.0 |
| Context Length | 4096 |
| Model Max Length | 4096 |
| Transformers Version | 4.57.3 |
| Tokenizer Class | PreTrainedTokenizerFast |
| Padding Token | <|pad|> |
| Vocabulary Size | 200192 |
Best Alternatives to Trinity Nano Base Pre Anneal
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Trinity Nano Preview | 128K / 12.2 GB | 26498 | 77 |
| Trinity Nano Base | 128K / 12.2 GB | 1613 | 27 |
Note: green Score (e.g. "73.2") means that the model is better than arcee-ai/Trinity-Nano-Base-Pre-Anneal .
Rank the Trinity Nano Base Pre Anneal Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
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Release v20260328a