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Cataloged from unsloth/Trinity-Large-Preview-GGUF
All models by unsloth →[!NOTE] Includes Unsloth chat template fixes!
Forllama.cpp, use--jinja
Unsloth Dynamic 2.0 achieves superior accuracy & outperforms other leading quants.
Trinity-Large-Preview is a 398B-parameter sparse Mixture-of-Experts (MoE) model with approximately 13B active parameters per token. It is the largest model in Arcee AI's Trinity family, trained on more than 17 trillion tokens and delivering frontier-level performance with strong long-context comprehension. Trinity-Large-Preview is a lightly post-trained model based on Trinity-Large-Base.
Try it at chat.arcee.ai
More details on the training of Trinity Large are available in the technical report.
The Trinity Large family consists of three checkpoints from the same training run:
Trinity-Large-Preview uses a sparse MoE configuration designed to maximize efficiency while maintaining large-scale capacity.
Use the main transformers branch or pass trust_remote_code=True with a released version.
Supported in VLLM release 0.11.1+
Supported in llama.cpp release b7061+
Supported in the latest LM Studio runtime. Search for arcee-ai/Trinity-Large-Preview-GGUF in Model Search.
Available on OpenRouter:
Trinity-Large-Preview is released under the Apache License, Version 2.0.
from transformers import AutoTokenizer, AutoModelForCausalLMimport torch
model_id = "arcee-ai/Trinity-Large-Preview"tokenizer = AutoTokenizer.from_pretrained(model_id)model = AutoModelForCausalLM.from_pretrained( model_id, torch_dtype=torch.bfloat16, device_map="auto", trust_remote_code=True)
messages = [ {"role": "user", "content": "Who are you?"},]
input_ids = tokenizer.apply_chat_template( messages, add_generation_prompt=True, return_tensors="pt").to(model.device)
outputs = model.generate( input_ids, max_new_tokens=256, do_sample=True, temperature=0.8, top_k=50, top_p=0.8)
response = tokenizer.decode(outputs[0], skip_special_tokens=True)print(response)vllm serve arcee-ai/Trinity-Large-Preview \ --dtype bfloat16 \ --enable-auto-tool-choice \ --tool-call-parser hermesllama-server -hf arcee-ai/Trinity-Large-Preview-GGUF:q4_k_mcurl -X POST "https://openrouter.ai/v1/chat/completions" \ -H "Authorization: Bearer $OPENROUTER_API_KEY" \ -H "Content-Type: application/json" \ -d '{ "model": "arcee-ai/trinity-large-preview", "messages": [ { "role": "user", "content": "What are some fun things to do in New York?" } ] }'@misc{arcee_trinity_large_preview, title = {Trinity-Large-Preview}, author = {{Arcee AI}}, year = {2026}, note = {398B sparse MoE model trained on 17T tokens}}