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Co-authored-by: Colin Kealty <Colin Kealty@users.noreply.huggingface.co>

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  1. .gitattributes +195 -0
  2. README.md +167 -0
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README.md ADDED
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+ ---
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+ license: apache-2.0
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+ language:
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+ - en
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+ - es
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+ - fr
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+ - de
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+ - it
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+ - pt
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+ - ru
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+ - ar
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+ - hi
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+ - ko
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+ - zh
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+ library_name: transformers
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+ base_model:
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+ - arcee-ai/Trinity-Large-Preview
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+ base_model_relation: quantized
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+ ---
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+ <!-- markdownlint-disable first-line-h1 -->
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+ <!-- markdownlint-disable html -->
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+ <!-- markdownlint-disable no-duplicate-header -->
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+
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+ <div align="center">
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+ <picture>
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+ <img
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+ src="https://cdn-uploads.huggingface.co/production/uploads/6435718aaaef013d1aec3b8b/i-v1KyAMOW_mgVGeic9WJ.png"
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+ alt="Arcee Trinity Large"
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+ style="max-width: 100%; height: auto;"
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+ >
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+ </picture>
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+ </div>
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+ <hr>
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+
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+ # Trinity-Large-Preview-GGUF
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+
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+ ## Introduction
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+
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+ 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.
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+ Trinity-Large-Preview is a lightly post-trained model based on Trinity-Large-Base.
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+
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+ **This repository contains the GGUF quantized weights of Trinity-Large-Preview.**
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+
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+ Try it at [chat.arcee.ai](http://chat.arcee.ai/)
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+
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+ More details on the training of Trinity Large are available in the [technical report](https://github.com/arcee-ai/trinity-large-tech-report/).
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+
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+
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+ ## Model Variants
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+
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+ The Trinity Large family consists of three checkpoints from the same training run:
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+
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+ - **[Trinity-Large-Preview](https://huggingface.co/arcee-ai/Trinity-Large-Preview)**: Lightly post-trained, chat-ready model undergoing active RL
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+ - **[Trinity-Large-TrueBase](https://huggingface.co/arcee-ai/Trinity-Large-TrueBase)**: 10T-token pre-anneal pretraining checkpoint
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+ - **[Trinity-Large-Base](https://huggingface.co/arcee-ai/Trinity-Large-Base)**: Full 17T-token pretrained foundation model with mid-training anneals
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+
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+ ## Architecture
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+
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+ Trinity-Large-Preview uses a sparse MoE configuration designed to maximize efficiency while maintaining large-scale capacity.
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+
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+ | Hyperparameter | Value |
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+ |:---|:---:|
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+ | Total parameters | ~398B |
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+ | Active parameters per token | ~13B |
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+ | Experts | 256 (1 shared) |
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+ | Active experts | 4 |
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+ | Routing strategy | 4-of-256 (1.56% sparsity) |
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+ | Dense layers | 6 |
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+ | Pretraining context length | 8,192 |
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+ | Context length after extension | 512k |
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+ | Architecture | Sparse MoE (AfmoeForCausalLM) |
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+
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+ ## Benchmarks
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+
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+ | Benchmark | Llama 4 Maverick | Trinity-Large Preview |
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+ |-----------|------------------|----------------------|
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+ | MMLU | 85.5 | 87.2 |
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+ | MMLU-Pro | 80.5 | 75.2 |
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+ | GPQA-Diamond | 69.8 | 63.3 |
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+ | AIME 2025 | 19.3 | 24.0 |
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+
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+ ## Training Configuration
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+
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+ ### Pretraining
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+
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+ - Training tokens: 17 trillion
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+ - Data partner: [Datology](https://www.datologyai.com/)
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+
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+ <div align="center">
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+ <picture>
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+ <img src="https://cdn-uploads.huggingface.co/production/uploads/6435718aaaef013d1aec3b8b/sSVjGNHfrJKmQ6w8I18ek.png" style="background-color:ghostwhite;padding:5px;" width="17%" alt="Powered by Datology">
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+ </picture>
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+ </div>
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+
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+ ## Posttraining
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+ - This checkpoint was instruction tuned on 20B tokens.
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+
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+ ### Infrastructure
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+
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+ - Hardware: 2,048 NVIDIA B300 GPUs
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+ - Parallelism: HSDP + Expert Parallelism
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+ - Compute partner: [Prime Intellect](https://www.primeintellect.ai/)
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+
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+
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+ <div align="center">
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+ <picture>
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+ <img src="https://cdn-avatars.huggingface.co/v1/production/uploads/61e020e4a343274bb132e138/H2mcdPRWtl4iKLd-OYYBc.jpeg" style="background-color:ghostwhite;padding:5px;" width="17%" alt="Powered by Prime Intellect">
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+ </picture>
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+ </div>
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+
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+ ## Usage
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+
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+ ### Running our model
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+
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+ - [Transformers](https://huggingface.co/arcee-ai/Trinity-Large-Preview#transformers)
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+ - [VLLM](https://huggingface.co/arcee-ai/Trinity-Large-Preview#vllm)
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+ - [llama.cpp](https://huggingface.co/arcee-ai/Trinity-Large-Preview#llamacpp)
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+ - [LM Studio](https://huggingface.co/arcee-ai/Trinity-Large-Preview#lm-studio)
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+ - [API](https://huggingface.co/arcee-ai/Trinity-Large-Preview#api)
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+
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+
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+ ### llama.cpp
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+
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+ Supported in llama.cpp release b7061+
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+
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+ ```bash
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+ llama-server -hf arcee-ai/Trinity-Large-Preview-GGUF:q4_k_m
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+ ```
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+
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+ ### LM Studio
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+
132
+ Supported in the latest LM Studio runtime. Search for `arcee-ai/Trinity-Large-Preview-GGUF` in Model Search.
133
+
134
+ ### API
135
+
136
+ Available on OpenRouter:
137
+
138
+ ```bash
139
+ curl -X POST "https://openrouter.ai/v1/chat/completions" \
140
+ -H "Authorization: Bearer $OPENROUTER_API_KEY" \
141
+ -H "Content-Type: application/json" \
142
+ -d '{
143
+ "model": "arcee-ai/trinity-large-preview",
144
+ "messages": [
145
+ {
146
+ "role": "user",
147
+ "content": "What are some fun things to do in New York?"
148
+ }
149
+ ]
150
+ }'
151
+ ```
152
+
153
+
154
+ ## License
155
+
156
+ Trinity-Large-Preview is released under the Apache License, Version 2.0.
157
+
158
+ ## Citation
159
+
160
+ ```bibtex
161
+ @misc{arcee_trinity_large_preview,
162
+ title = {Trinity-Large-Preview},
163
+ author = {{Arcee AI}},
164
+ year = {2026},
165
+ note = {398B sparse MoE model trained on 17T tokens}
166
+ }
167
+ ```
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