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 base model
pre
fine tuning, and so is not suitable for chatting, and should be trained for your specific domain before use.
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
curl -X POST "https://openrouter.ai/v1/chat/completions" \
-H "Authorization: Bearer $OPENROUTER_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "arcee-ai/trinity-mini",
"messages": [
{
"role": "user",
"content": "What are some fun things to do in New York?"
}
]
}'
License
Trinity-Mini-Base is released under the Apache-2.0 license.
Runs of arcee-ai Trinity-Mini-Base on huggingface.co
243
Total runs
0
24-hour runs
-47
3-day runs
-1.7K
7-day runs
-1.7K
30-day runs
More Information About Trinity-Mini-Base huggingface.co Model
Trinity-Mini-Base huggingface.co is an AI model on huggingface.co that provides Trinity-Mini-Base's model effect (), which can be used instantly with this arcee-ai Trinity-Mini-Base model. huggingface.co supports a free trial of the Trinity-Mini-Base model, and also provides paid use of the Trinity-Mini-Base. Support call Trinity-Mini-Base model through api, including Node.js, Python, http.
Trinity-Mini-Base huggingface.co is an online trial and call api platform, which integrates Trinity-Mini-Base's modeling effects, including api services, and provides a free online trial of Trinity-Mini-Base, you can try Trinity-Mini-Base online for free by clicking the link below.
arcee-ai Trinity-Mini-Base online free url in huggingface.co:
Trinity-Mini-Base is an open source model from GitHub that offers a free installation service, and any user can find Trinity-Mini-Base on GitHub to install. At the same time, huggingface.co provides the effect of Trinity-Mini-Base install, users can directly use Trinity-Mini-Base installed effect in huggingface.co for debugging and trial. It also supports api for free installation.