alt.freeweights.text / Trinity-Large-Preview
From: arcee-ai <huggingface.co/arcee-ai>Newsgroups: alt.freeweights.textSubject:

Trinity-Large-Preview

Date: 2026-11-15Commit: d8e1267Signed: 2DC28CC7B26A283B ✓

Text generation model with 398.6B parameters. Safetensors weights, 797 GB in all. Published by arcee-ai under OpenMDW-1.1.

398.6B params797GBTrinity-Large-Previewsafetensorscustom terms
FactsParams398.6BSize797 GBFormatssafetensorsTasktext generationLicenseOpenMDW-1.1From sourcecustom termsread terms
# custom terms: read the license before you download
$ fw get arcee-ai/Trinity-Large-Preview
# manifest sha256 e2ce06f9d445… · 797 GB · 43 files
$ fw verify ./Trinity-Large-Preview arcee-ai/Trinity-Large-Preview
From sourceHosted (signed)arcee-ai/Trinity-Large-PreviewLast check: 2026-11-15 03:29 UTC

Get help: custom fine-tune or private deploy. We review your setup before we quote.

Fine-tune of Trinity-Large-Base.

Works with

Overview

Size
797 GB
Weights
797 GB (safetensors)
Parameters
398.6B
Formats
safetensors
Task
text generation
License
OpenMDW-1.1 (custom)
Files
43, each with a sha256
Publisher
arcee-ai
Added
2026-11-15
Section
alt.freeweights.text
Lineage

Original release from the publisher.

Base model: arcee-ai/Trinity-Large-Base

Where these bytes come from
Publisher at the pinned commit→You

Sources are tried in order. A file counts only when its size and sha256 match the manifest. Sources are checked when you ask for them, not on a timer.

Sources
BadgeHostLast checkResult
From sourcehuggingface.co2026-11-15 03:29 UTCpassed

Model card

From the publisher at commit d8e1267. Shown as plain text with links; images open at the publisher.

Image: Arcee Trinity Large


Trinity-Large-Preview#

Introduction#

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.

Model Variants#

The Trinity Large family consists of three checkpoints from the same training run:

  • Trinity-Large-Preview (this release): Lightly post-trained, chat-ready model undergoing active RL
  • Trinity-Large-Thinking: Reasoning-optimized, agentic post-training with extended chain-of-thought
  • Trinity-Large-TrueBase: 10T-token pre-anneal pretraining checkpoint
  • Trinity-Large-Base: Full 17T-token pretrained foundation model with mid-training anneals

Architecture#

Trinity-Large-Preview uses a sparse MoE configuration designed to maximize efficiency while maintaining large-scale capacity.

HyperparameterValue
Total parameters~398B
Active parameters per token~13B
Experts256 (1 shared)
Active experts4
Routing strategy4-of-256 (1.56% sparsity)
Dense layers6
Pretraining context length8,192
Context length after extension512k
ArchitectureSparse MoE (AfmoeForCausalLM)

Benchmarks#

BenchmarkLlama 4 MaverickTrinity-Large Preview
MMLU85.587.2
MMLU-Pro80.575.2
GPQA-Diamond69.863.3
AIME 202519.324.0

Training Configuration#

Pretraining#
  • Training tokens: 17 trillion
  • Data partner: Datology

Image: Powered by Datology

Posttraining#

  • This checkpoint was instruction tuned on 20B tokens.
Infrastructure#
  • Hardware: 2,048 NVIDIA B300 GPUs
  • Parallelism: HSDP + Expert Parallelism
  • Compute partner: Prime Intellect

Image: Powered by Prime Intellect

Usage#

Running our model#
Transformers#

Use the main transformers branch or pass trust_remote_code=True with a released version.

from transformers import AutoTokenizer, AutoModelForCausalLM
import 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#

Supported in VLLM release 0.11.1+

vllm serve arcee-ai/Trinity-Large-Preview \
  --dtype bfloat16 \
  --enable-auto-tool-choice \
  --tool-call-parser hermes
llama.cpp#

Supported in llama.cpp release b7061+

llama-server -hf arcee-ai/Trinity-Large-Preview-GGUF:q4_k_m
LM Studio#

Supported in the latest LM Studio runtime. Search for arcee-ai/Trinity-Large-Preview-GGUF in Model Search.

API#

Available on OpenRouter:

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-large-preview",
    "messages": [
      {
        "role": "user",
        "content": "What are some fun things to do in New York?"
      }
    ]
  }'

License#

Trinity-Large-Preview is released under the OpenMDW License, version 1.1 (OpenMDW-1.1).

Citation#

If you use this model, please cite:

@misc{singh2026arceetrinity,
  title        = {Arcee Trinity Large Technical Report},
  author       = {Varun Singh and Lucas Krauss and Sami Jaghouar and Matej Sirovatka and Charles Goddard and Fares Obied and Jack Min Ong and Jannik Straube and Fern and Aria Harley and Conner Stewart and Colin Kealty and Maziyar Panahi and Simon Kirsten and Anushka Deshpande and Anneketh Vij and Arthur Bresnu and Pranav Veldurthi and Raghav Ravishankar and Hardik Bishnoi and DatologyAI Team and Arcee AI Team and Prime Intellect Team and Mark McQuade and Johannes Hagemann and Lucas Atkins},
  year         = {2026},
  eprint       = {2602.17004},
  archivePrefix= {arXiv},
  primaryClass = {cs.LG},
  doi          = {10.48550/arXiv.2602.17004},
  url          = {https://arxiv.org/abs/2602.17004}
}

Files

43 files · 797 GBWeights 797 GB (safetensors). Sizes and sha256 from the signed manifest.
Show all 43 files with their sha256
FileSizesha256
.eval_results/mmlu_pro.yaml189 Ba9c9f55ac1bc22c5c10966fee73d40e28999d08d8e97bf44e81de6e255eb92a8
.gitattributes1.57 KB34448b82c17d60fec9b65b1f093c115ddbaadc04beb1b0140b6bfed2e012a930
LICENSE2.62 KB2ab44b68365473c112f5092211a38f231cb23e50de68b75a13369adbd76a74df
README.md6.60 KB6f8b27c21302fd9660a673a79c0d8ca7f71be26f6c78d64e606027ae6edccb67
chat_template.jinja2.73 KBedff6190f14a2103027f8e0ab717f0e29a3ca58a47230d7628bcffb3e7f120ef
config.json2.66 KBab43bca1fa33c926a71c0156e3f673b84bc7928f0975450bdac7b8dc6e163c3a
configuration_afmoe.py4.75 KBac0b02ccdb0fc16567c2a9dfc29d35181ded882b1cc3efa6ec227b935efcedb7
generation_config.json170 Bf3c68e3f1ff1488dfdcc101ab8b9aa0ae8c3e18e595fc1d2f432cd70b288b255
model-00001-of-00031.safetensors2.46 GBabc9e696257c4d65fa11f392129c3dfecaaa2fe3c4a572f73840ee88ad6221fb
model-00002-of-00031.safetensors705 MBcf0a02920bc6750b2397e2bf4d82a922404504404f8efe46ad2c8bb1c7d897e9
model-00003-of-00031.safetensors705 MB529bec08d7558b4b028bb25dc31333d9b3118e43254b0d7f2a49a4b3e925efc4
model-00004-of-00031.safetensors705 MBc6d4b3c832b7ae965286b209a664f0f3b51912ea5157c00ae6b88ee4048e4dd7
model-00005-of-00031.safetensors29.4 GBe5c39a196e257c98f6159a8e63f33a8fe083f11e79668683b476bffb1c3cec22
model-00006-of-00031.safetensors29.4 GBfe19dbdb61db4e880e4ee22c706d2944a518f8e14f00c5015730dd76c949f7b3
model-00007-of-00031.safetensors29.4 GB7ad6b0fdf1b740419194c24516a5548190828c6faa0d0d6e51decf2799d8c985
model-00008-of-00031.safetensors29.4 GB7940b25ac61c123cf37931c5c5624f5fb04496c134417d9aaef19cd92681be70
model-00009-of-00031.safetensors29.4 GBdc7453c0e5368ab1cc12a1c200fdaba13d5b1331d467f30971f0fe1777531042
model-00010-of-00031.safetensors29.4 GB85fec4b1a26b292c72140de3a32ae873c377a199009638a3ddeba9d1d6bc88d5
model-00011-of-00031.safetensors29.4 GB2ec54b656ed08c9210366041ca515112c8a965d74987560930d75a41e609b4e0
model-00012-of-00031.safetensors29.4 GB807c63d689ef1adf90c201b8c40e94578bea20f746c56419e4e630bd3ffabc5e
model-00013-of-00031.safetensors29.4 GB4de01f641aef864e9a380fd214311342a5befc700076e4cc2590713a317a5c63
model-00014-of-00031.safetensors29.4 GB732fa9c1586a8f43ee3bbe8364c9d7496bec04283800fc936c843e49dc649c24
model-00015-of-00031.safetensors29.4 GBc24d9f2ed114cf1b2739f6e622fa50a6cfb963f1d93a412b09ed0635195e924f
model-00016-of-00031.safetensors29.4 GBb2cbd47b5b38bfffab863bbd76aedff6aeafd8d5b9af118f0cd9c1d09843fa32
model-00017-of-00031.safetensors29.4 GBc099081adcc09e4473609edb1a8069cf3de243ca601241e81f273eb5410d740a
model-00018-of-00031.safetensors29.4 GB0c53be7c5101d32d7fe2d832929049a759ea55d340d2cdb11fff194619561231
model-00019-of-00031.safetensors29.4 GB6c4df3f75451b5740aa2bea3b1f9fcc0c6597ec773535f996c1c7c5eeb1569e1
model-00020-of-00031.safetensors29.4 GBc107c2f427a96a8620212884298a5e9850e5ba02b5a310c8a27d187b99a411a6
model-00021-of-00031.safetensors29.4 GBbbbe80752f0972113f6facb2a928553721117382f2ff0dce825cc73e21b8923f
model-00022-of-00031.safetensors29.4 GBc82e838e032f638647abba7c89cea19bfe08ba59054927af2a0191327acd1608
model-00023-of-00031.safetensors29.4 GBa4b1fb43b32bf1025453c7305681d15abe6294c0ab14f522a6e8c8a13a5f734d
model-00024-of-00031.safetensors29.4 GB474000b92f3b48bfdde560b4191cb7588413ece620948b711e8b0b06c953b1a8
model-00025-of-00031.safetensors29.4 GB2e08d4238d940872960fba67bc202c24268846f1f729bcbe7c201b8479b4708d
model-00026-of-00031.safetensors29.4 GBf9f2d5aa61254e42fd8fdf85eb7f0dcc69479000d82649290699c8f494282c55
model-00027-of-00031.safetensors29.4 GBca2aa10c0058b264b7b4cd74e108052343bf1a9e8f1896b7cdd6a99e73a96b08
model-00028-of-00031.safetensors29.4 GB310cc910bb25f4f4b8bee46e141c807bbde00dac01b7efaeda669bbd950c3754
model-00029-of-00031.safetensors29.4 GBbe34656154e1080a42824405e8386f20013c7bc78d080c975efe8c0ac8779903
model-00030-of-00031.safetensors29.4 GB63f091ec2d3a50a7f5286a017bc81623a7b6d286b361d5f765ee8c0dbb02d2d3
model-00031-of-00031.safetensors29.4 GBd4cb9e764f53af90b44e1938105f56ce8282381d009d2c019c07de3063b27027
model.safetensors.index.json3.85 MB3237f9a1b66953f19c6ee44bef1d78f34d43333ed9ae6ca47db02b6d52adba90
special_tokens_map.json436 Bc82f6489f79fddeba92ca459e172c237df2245bfc773302bc19725416c65038d
tokenizer.json14.6 MB4d864fe0d9c300d44c54006f5960548946d507d8ec05a082a3bff3e49de58208
tokenizer_config.json8.91 KB2f0dbb87667b9c94b3f205ea61fca0752fd02c0eefa20153faea6627aef2c67c
VersionsEach time the pinned upstream commit or file list changed in this repo. Newest first.
Upstream commitDateContents
d8e126719c pinned now2026-11-15 03:29 UTC43 files · 797 GB

Use it

# custom terms: read the license before you download
$ fw get arcee-ai/Trinity-Large-Preview
# manifest sha256 e2ce06f9d445… · 797 GB · 43 files
$ fw verify ./Trinity-Large-Preview arcee-ai/Trinity-Large-Preview
Terms that come with these files. OpenMDW 1.1: keep the agreement and the copyright notices with the files when you pass them on.
Custom license (custom). Read the license text first. Open this panel to show the commands once you accept its terms.
fw.pyChecks the signature and every sha256, tries each source in order, resumes.
$ python3 fw.py get https://freeweights.allternit.com/manifests/arcee-ai/Trinity-Large-Preview.json --dir ./Trinity-Large-Preview $ python3 fw.py verify ./Trinity-Large-Preview ./arcee-ai__Trinity-Large-Preview.json
hfThe Hugging Face CLI with one setting. Same repo id.
$ HF_ENDPOINT=https://freeweights.allternit.com hf download arcee-ai/Trinity-Large-Preview --revision d8e126719c8bf2b3ac5a3551bd1f07fcee767a90 --local-dir ./Trinity-Large-Preview
transformersLoad the weights in Python.
import os os.environ["HF_ENDPOINT"] = "https://freeweights.allternit.com" from transformers import AutoModelForCausalLM, AutoTokenizer tok = AutoTokenizer.from_pretrained("arcee-ai/Trinity-Large-Preview", revision="d8e126719c8bf2b3ac5a3551bd1f07fcee767a90") model = AutoModelForCausalLM.from_pretrained("arcee-ai/Trinity-Large-Preview", revision="d8e126719c8bf2b3ac5a3551bd1f07fcee767a90", device_map="auto")
vLLMServe an OpenAI-compatible API.
$ HF_ENDPOINT=https://freeweights.allternit.com vllm serve arcee-ai/Trinity-Large-Preview --revision d8e126719c8bf2b3ac5a3551bd1f07fcee767a90

License

Name
OpenMDW-1.1
Id
OpenMDW-1.1
Class
Custom terms
Redistribution
click-through
Listing
Hosted (signed)
Terms
OpenMDW 1.1: keep the agreement and the copyright notices with the files when you pass them on.
Decided
License as declared by the publisher. No person read it. 2026-11-15
Text in
LICENSE
Text sha256
2ab44b68365473c112f5092211a38f231cb23e50de68b75a13369adbd76a74df
Terms gate
Yes. The commands stay folded until you open them after reading the license.

Read the license text

Licenses are checked against the license table. A custom license passes only after a person reads it.

Provenance

From: arcee-ai <huggingface.co/arcee-ai>Newsgroups: alt.freeweights.textSubject: Trinity-Large-PreviewDate: 2026-11-15Commit: d8e1267Signed: 2DC28CC7B26A283B ✓
Upstream
arcee-ai/Trinity-Large-Preview
Pinned commit
d8e126719c8bf2b3ac5a3551bd1f07fcee767a90
Manifest
Trinity-Large-Preview.json · .minisig
Manifest sha256
e2ce06f9d44550b4d4160ff8ab6c16e9ff524e8a7144a3f28cd4ee869b81c01d
Signature
minisign, Ed25519, key 2DC28CC7B26A283B
Created
2026-11-15 03:29 UTC
Generator
freeweights-manifest/0.1.0
Takedowns
None.

How to verify

$ curl -O https://freeweights.allternit.com/manifests/arcee-ai/Trinity-Large-Preview.json $ curl -O https://freeweights.allternit.com/manifests/arcee-ai/Trinity-Large-Preview.json.minisig $ minisign -Vm Trinity-Large-Preview.json -P RWQ7KGqyx4zCLXtUFOqvfv8L3g+8fpKJ1FsuxPyOYMF+4KufbUxKq1Oq $ shasum -a 256 <file> # compare with the Files tab

A manifest whose signature fails must be rejected. A file whose size or sha256 does not match must be discarded. Verify a download

Model tree

Parent

arcee-ai/Trinity-Large-Base · this model is a finetune of it

1 model in the catalog name this one as their parent.

Quantizations
1
Get it
Read license, then download
$ HF_ENDPOINT=https://freeweights.allternit.com hf download arcee-ai/Trinity-Large-Preview
Open in Freeweights Studio

Pull, verify and run it in the Allternit app on Desktop, web or phone.

Signed manifest
minisign, key 2DC28CC7B26A283B. Trinity-Large-Preview.json. Provenance. Takedown history: none.

Variants

1 quantized or adapter build of Trinity-Large-Preview. Each has its own license check and page.

From: laion <huggingface.co/laion>Subject: a2-rl-e2egit_large-50-32B
From: laion <huggingface.co/laion>Subject: a3-rl-DCAgent_exp_rpt_e2egit-large-15-8B
From: laion <huggingface.co/laion>Subject: a3-rl-DCAgent_exp_rpt_e2egit-v2-10-8B
From: laion <huggingface.co/laion>Subject: a3-rl-DCAgent_exp_rpt_pymethods2test-large-80-8B
From: laion <huggingface.co/laion>Subject: a3-rl-DCAgent_exp_rpt_unitsyn-python-large-10-8B
From: laion <huggingface.co/laion>Subject: a3-rl-DCAgent_mix_h2_language_proportional-65-8B