Model reference · open weights
Trinity-Mini is an open-weight language model from arcee-ai, listed in the AxForge catalogue. AxForge can bring it up on EU-owned hardware for you on request — with the licence handled where one is required.
About
src="https://cdn-uploads.huggingface.co/production/uploads/6435718aaaef013d1aec3b8b/i-v1KyAMOWmgVGeic9WJ.png" alt="Arcee Trinity Mini" style="max-width: 100%; height: auto;" Trinity Mini Trinity Mini is an Arcee AI 26B MoE model with 3B active parameters. It is the medium-sized model in our new Trinity family, a series of open-weight models for enterprise and tinkerers alike. This model is tuned for reasoning, but in testing, it uses a similar total token count to competitive instruction-tuned models. Trinity Mini is trained on 10T tokens gathered and curated through a key partnership with Datology, building upon the excellent dataset we used on AFM-4.5B with additional math and code. Training was performed on a cluster of 512 H200 GPUs powered by Prime Intellect using HSDP parallelism. More details, including key architecture decisions, can be found on our blog here Try it out now at chat.arcee.ai Model Details Model Architecture: AfmoeForCausalLM Parameters: 26B, 3B active Experts: 128 total, 8 active, 1 shared Context length: 128k Training Tokens: 10T License: OpenMDW-1.1 Recommended settings: temperature: 0.15 topk: 50 topp: 0.75 minp: 0.06 Benchmarks Running our model - Transformers - VLLM - llama.cpp - LM Studio - API Transformers Use the main transformers branch If using a released transformers, simply pass "trustremotecode=True": VLLM Supported in VLLM release 0.11.1 Serving the model with suggested settings: llama.cpp Supported in llama.cpp release b7061 Download the latest llama.cpp release LM Studio Supported in latest LM Studio runtime Update to latest available, then verify your runtime by: 1. Click "Power User" at the bottom left 2. Click the green "Developer" icon at the top left 3. Select "LM Runtimes" at the top 4. Refresh the list of runtimes and verify that the latest is installed Then, go to Model Search and search for arcee-ai/Trinity-Mini-GGUF, download your prefered size, and load it up in the chat API Trinity Mini is available today on openrouter: https://openrouter.ai/arcee-ai/trinity-mini License Trinity-Mini is released under the OpenMDW-1.1 license.
Summarised from the published model card. Read the full card on the HuggingFace links below.
Specifications
| Maker | arcee-ai |
|---|---|
| Type | Language models |
| Parameters (lead) | 26.1B |
| Context | 128k tokens |
| Variants | 3 |
| Runs with | transformers |
| Based on | arcee-ai/Trinity-Mini-Base |
| Released | 2025-12-01 |
| Popularity | 20k downloads / month |
| Likes | 205 |
| Licence | Commercial licence needed |
How it works
Variants
Open weights ship in several sizes and precisions. One page, all the variants — pick the one that fits your GPU. VRAM figures are estimates from model size.
Using it via the API
Once AxForge deploys trinity-mini for you, it answers on the OpenAI-compatible API — the same base URL and keys as every other model. (trinity-mini below is illustrative; you get the exact model name on deployment.)
$ curl -sS https://api.axforge.ai/v1/chat/completions \
-H "Authorization: Bearer $AXFORGE_API_KEY" \
-H "Content-Type: application/json" \
-d '{"model":"trinity-mini","messages":[{"role":"user","content":"Hello"}]}'
Details
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Licence
The weights are open but its licence needs a commercial agreement for business use. AxForge can arrange that licence and host the model for you — you pay AxForge, we settle with the model’s maker. Ask us for a quote. Read the licence ↗