What are the hardware requirements for Trinity Mini FP8 Block?

Trinity Mini FP8 Block requires approximately 27.8 GB of VRAM and supports a context window of 128K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Trinity Mini FP8 Block and how large is it?

Trinity Mini FP8 Block is developed by arcee-ai, a model with 26.1b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

Where can I download or evaluate Trinity Mini FP8 Block?

Trinity Mini FP8 Block is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Trinity Mini FP8 Block by arcee-ai — VRAM 27.8GB, 128K context

Name: Trinity Mini FP8 Block
Author: arcee-ai

Trinity Mini FP8 Block is an open-source language model by arcee-ai. Features: 26.1b LLM, VRAM: 27.8GB, Context: 128K, License: other, LLM Explorer Score: 0.24.

Afmoe Ar Base model:arcee-ai/trinity-mi... Base model:quantized:arcee-ai/... Compressed-tensors 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-FP8-Block

Trinity Mini FP8 Block Parameters and Internals

LLM Name	Trinity Mini FP8 Block
Repository 🤗	https://huggingface.co/arcee-ai/Trinity-Mini-FP8-Block
Base Model(s)	Trinity Mini arcee-ai/Trinity-Mini
Model Size	26.1b
Required VRAM	27.8 GB
Updated	2026-08-09
Maintainer	arcee-ai
Model Type	afmoe
Model Files	5.0 GB: 1-of-6 5.0 GB: 2-of-6 5.0 GB: 3-of-6 5.0 GB: 4-of-6 5.0 GB: 5-of-6 2.8 GB: 6-of-6
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	4.57.6
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|pad\|>
Vocabulary Size	200192

Rank the Trinity Mini FP8 Block capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

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

Best Alternatives to Trinity Mini FP8 Block

Best Alternatives	Context / RAM	Downloads	Likes
Trinity Mini	128K / 52.3 GB	25533	198
Trinity Mini Base	128K / 52.3 GB	2331	22
Trinity Mini Base Pre Anneal	4K / 52.3 GB	247	14

Note: green Score (e.g. "73.2") means that the model is better than arcee-ai/Trinity-Mini-FP8-Block.