arcee-ai / Trinity-Mini-GGUF

huggingface.co
Total runs: 1.2K
24-hour runs: 0
7-day runs: -102
30-day runs: -106
Model's Last Updated: May 29 2026
text-generation

Introduction of Trinity-Mini-GGUF

Model Details of Trinity-Mini-GGUF

Arcee Trinity Mini

Trinity Mini GGUF

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.

These are the GGUF files for running on llama.cpp powered platforms


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: Apache 2.0
  • Recommended settings:
    • temperature: 0.15
    • top_k: 50
    • top_p: 0.75
    • min_p: 0.06

Benchmarks

Powered by Datology
Running our model
llama.cpp

Supported in llama.cpp release b7061

Download the latest llama.cpp release

llama-server -hf arcee-ai/Trinity-Mini-GGUF:q4_k_m \
  --temp 0.15 \
  --top-k 50 \
  --top-p 0.75
  --min-p 0.06
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

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 is released under the Apache-2.0 license.

Runs of arcee-ai Trinity-Mini-GGUF on huggingface.co

1.2K
Total runs
0
24-hour runs
-3
3-day runs
-102
7-day runs
-106
30-day runs

More Information About Trinity-Mini-GGUF huggingface.co Model

More Trinity-Mini-GGUF license Visit here:

https://choosealicense.com/licenses/openmdw-1.1

Trinity-Mini-GGUF huggingface.co

Trinity-Mini-GGUF huggingface.co is an AI model on huggingface.co that provides Trinity-Mini-GGUF's model effect (), which can be used instantly with this arcee-ai Trinity-Mini-GGUF model. huggingface.co supports a free trial of the Trinity-Mini-GGUF model, and also provides paid use of the Trinity-Mini-GGUF. Support call Trinity-Mini-GGUF model through api, including Node.js, Python, http.

Trinity-Mini-GGUF huggingface.co Url

https://huggingface.co/arcee-ai/Trinity-Mini-GGUF

arcee-ai Trinity-Mini-GGUF online free

Trinity-Mini-GGUF huggingface.co is an online trial and call api platform, which integrates Trinity-Mini-GGUF's modeling effects, including api services, and provides a free online trial of Trinity-Mini-GGUF, you can try Trinity-Mini-GGUF online for free by clicking the link below.

arcee-ai Trinity-Mini-GGUF online free url in huggingface.co:

https://huggingface.co/arcee-ai/Trinity-Mini-GGUF

Trinity-Mini-GGUF install

Trinity-Mini-GGUF is an open source model from GitHub that offers a free installation service, and any user can find Trinity-Mini-GGUF on GitHub to install. At the same time, huggingface.co provides the effect of Trinity-Mini-GGUF install, users can directly use Trinity-Mini-GGUF installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

Trinity-Mini-GGUF install url in huggingface.co:

https://huggingface.co/arcee-ai/Trinity-Mini-GGUF

Url of Trinity-Mini-GGUF

Trinity-Mini-GGUF huggingface.co Url

Provider of Trinity-Mini-GGUF huggingface.co

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