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alt.freeweights.olmo / StdMoE_1b14b_1T
From: allenai <huggingface.co/allenai>Newsgroups: alt.freeweights.olmoSubject:

StdMoE_1b14b_1T

Date: 2026-11-15Commit: b82073bSigned: 2DC28CC7B26A283B ✓

Text generation model with 13.6B parameters. Safetensors weights, 54.3 GB in all. Published by allenai under Apache-2.0.

13.6B params54.3GBStdMoE_1b14b_1Tsafetensorspermissive
FactsParams13.6BSize54.3 GBFormatssafetensorsTasktext generationLicenseApache-2.0From sourcepermissive
$ fw get allenai/StdMoE_1b14b_1T
# manifest sha256 f61b2ca03809… · 54.3 GB · 24 files
$ fw verify ./StdMoE_1b14b_1T allenai/StdMoE_1b14b_1T
From sourceHosted (signed)allenai/StdMoE_1b14b_1TLast check: 2026-11-15 03:50 UTC
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Overview

Size
54.3 GB
Weights
54.3 GB (safetensors)
Parameters
13.6B
Formats
safetensors
Task
text generation
License
Apache-2.0 (permissive)
Files
24, each with a sha256
Publisher
allenai
Added
2026-11-15
Section
alt.freeweights.olmo
Lineage

Original release from the publisher.

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From sourcehuggingface.co2026-11-15 03:50 UTCpassed

Model card

From the publisher at commit b82073b. Shown as plain text with links; images open at the publisher.

StdMoE_1b14b_1T#

The architecture-matched standard MoE baseline released alongside EMO: Pretraining Mixture of Experts for Emergent Modularity — referred to as Reg. MoE (or "standard MoE") at 1T tokens in the paper.

1B-active / 14B-total parameter Mixture-of-Experts model (128 experts: 127 routed + 1 shared, k=8 active per token) pretrained on 1T tokens of the OLMoE pretraining mix and annealed for an additional 50B tokens with the standard MoE objective (no document-level expert pool constraint). Same architecture and training setup as Emo_1b14b_1T, differing only in the training objective.

Usage#

from transformers import AutoModelForCausalLM, AutoTokenizer

model_id = "allenai/StdMoE_1b14b_1T"
model = AutoModelForCausalLM.from_pretrained(model_id, trust_remote_code=True)
tokenizer = AutoTokenizer.from_pretrained(model_id, trust_remote_code=True)

inputs = tokenizer(["Language modeling is "], return_tensors="pt", return_token_type_ids=False)
out = model.generate(**inputs, max_new_tokens=100, do_sample=True, temperature=1.0, top_p=0.7)
print(tokenizer.batch_decode(out, skip_special_tokens=True)[0])

Citation#

@article{wang2026emo,
  title  = {EMO: Pretraining Mixture of Experts for Emergent Modularity},
  author = {Wang, Ryan and Bhagia, Akshita and Min, Sewon},
  year   = {2026},
  url    = {https://arxiv.org/abs/2605.06663}
}

License#

This model is licensed under Apache 2.0. It is intended for research and educational use in accordance with Ai2's Responsible Use Guidelines

Files

24 files · 54.3 GBWeights 54.3 GB (safetensors). Sizes and sha256 from the signed manifest.
Show all 24 files with their sha256
FileSizesha256
.gitattributes1.52 KB11ad7efa24975ee4b0c3c3a38ed18737f0658a5f75a0a96787b576a78a023361
README.md1.90 KB219bb5367aa9126660ecbda7265f07cdb2fc77c5e908100ff30834b603ef3f29
chat_template.jinja196 B153280e3ff55d19da1398bdb3914ee2a51b80429bfaedde11d7d216c39db80f3
config.json1.12 KB508fb6d7ae0419a27af8e9d776ba546152e89d259a80c35a9c5e3f8cfe8ee66e
configuration_emo.py11.7 KBf1bd419d8dd926cf7d15131b8192938a0feda1b003586320fa56de20360e4bf2
generation_config.json69 B49b7b376c9a77281e37b1544e00f6b83ffe1d46bd47ff1c5ee04a7d642ecbe2b
merges.txt917 KBb6fe424e334903f7fb84d3a106d9730455f4744b9fe3c21ee136d97a00e72502
model-00001-of-00011.safetensors4.99 GB3a322ee9a430df192204419d3cac278c3b2e52b99f16c344a66d9b4ddcb29e10
model-00002-of-00011.safetensors4.99 GB5eda8911beb3380e6348ea00211c3c2cb580158c43dcfbad0661e6335f59b57e
model-00003-of-00011.safetensors4.99 GB6cf59c9e61f4bb1d98c8c1fc54c2e3c2fabc3f998ff4dce6c8233e1cc7937b4e
model-00004-of-00011.safetensors4.99 GBc510438361a1b965903d79594fc628db79280a77f5d1c4a438d8689dbafd4be4
model-00005-of-00011.safetensors4.99 GB81a453f98c2eabdff79a19ffe4c6b353d5d2f383052f9a41c6c6a4a428ad4db3
model-00006-of-00011.safetensors4.99 GBf8287c81edcc2d0bbd6fc9c9863cc5e554b3f5039619506c1499701e332b2e31
model-00007-of-00011.safetensors4.99 GB8b58c4326b64f6bdf19216143bc6246dde65f016c78e1eaae6fd413e39f43ed3
model-00008-of-00011.safetensors4.99 GB1f3bc9509dbb2c0d457454f19e97112783ea8231a8a80285bd9e76389d74a52c
model-00009-of-00011.safetensors4.99 GB3f4831d1d8bc6cbf569fffc8318d5ceeed0f62a070e5b1803c448addf95823c3
model-00010-of-00011.safetensors4.99 GB1a3d363cc68c47aa1ea6e3cce2f9a6678c856ec4fd1174d064c828b1f34415ab
model-00011-of-00011.safetensors4.35 GBaa6266964c0d9519a983fb6a23c4a2b04689864b3322dd438b7413b2489ac382
model.safetensors.index.json562 KB934e6eb0b66c52b4f4a5d7ef7fde489f41d8fa697ea8ff52862c959377412339
modeling_emo.py55.2 KBe10fb25a662d581b25708c7b1d640ba22c7547824a1f4f00c1fc39f08801d32b
special_tokens_map.json207 B4cb2b52960bababa8ec27153831e405ef7811e3fad1226106e09c28e715cfb21
tokenizer.json7.14 MB73fd5254624f39a88e3faac6a8e11300fc3c735ed37880d4f4f08db898eaecca
tokenizer_config.json4.31 KB733b2ec0f743cf206dd20335eacbd4427c85487fd6f5216bb361f92a85314315
vocab.json1.61 MB9e14712c91b37c7aab74b1306baa46ac342d620637a4b44523cdc3aec7d24195
VersionsEach time the pinned upstream commit or file list changed in this repo. Newest first.
Upstream commitDateContents
b82073bb43 pinned now2026-11-15 03:50 UTC24 files · 54.3 GB

Use it

$ fw get allenai/StdMoE_1b14b_1T
# manifest sha256 f61b2ca03809… · 54.3 GB · 24 files
$ fw verify ./StdMoE_1b14b_1T allenai/StdMoE_1b14b_1T
fw.pyChecks the signature and every sha256, tries each source in order, resumes.
$ python3 fw.py get https://freeweights.allternit.com/manifests/allenai/StdMoE_1b14b_1T.json --dir ./StdMoE_1b14b_1T $ python3 fw.py verify ./StdMoE_1b14b_1T ./allenai__StdMoE_1b14b_1T.json
hfThe Hugging Face CLI with one setting. Same repo id.
$ HF_ENDPOINT=https://freeweights.allternit.com hf download allenai/StdMoE_1b14b_1T --revision b82073bb43aaaddc0f71d5ce139ad291a3948b32 --local-dir ./StdMoE_1b14b_1T
transformersLoad the weights in Python.
import os os.environ["HF_ENDPOINT"] = "https://freeweights.allternit.com" from transformers import AutoModelForCausalLM, AutoTokenizer tok = AutoTokenizer.from_pretrained("allenai/StdMoE_1b14b_1T", revision="b82073bb43aaaddc0f71d5ce139ad291a3948b32") model = AutoModelForCausalLM.from_pretrained("allenai/StdMoE_1b14b_1T", revision="b82073bb43aaaddc0f71d5ce139ad291a3948b32", device_map="auto")
vLLMServe an OpenAI-compatible API.
$ HF_ENDPOINT=https://freeweights.allternit.com vllm serve allenai/StdMoE_1b14b_1T --revision b82073bb43aaaddc0f71d5ce139ad291a3948b32
Run at home

License

Name
Apache License 2.0
Id
Apache-2.0
Class
Permissive
Redistribution
yes
Listing
Hosted (signed)
Decided
License as declared by the publisher. No person read it. 2026-11-15
Text in
README.md
Text sha256
219bb5367aa9126660ecbda7265f07cdb2fc77c5e908100ff30834b603ef3f29
Terms gate
No extra terms beyond 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: allenai <huggingface.co/allenai>Newsgroups: alt.freeweights.olmoSubject: StdMoE_1b14b_1TDate: 2026-11-15Commit: b82073bSigned: 2DC28CC7B26A283B ✓
Upstream
allenai/StdMoE_1b14b_1T
Pinned commit
b82073bb43aaaddc0f71d5ce139ad291a3948b32
Manifest
StdMoE_1b14b_1T.json · .minisig
Manifest sha256
f61b2ca0380973bb0d57411a0fd272de4f956b7bffdf59aa7e89eff61e456bc9
Signature
minisign, Ed25519, key 2DC28CC7B26A283B
Created
2026-11-15 03:50 UTC
Generator
freeweights-manifest/0.1.0
Takedowns
None.

How to verify

$ curl -O https://freeweights.allternit.com/manifests/allenai/StdMoE_1b14b_1T.json $ curl -O https://freeweights.allternit.com/manifests/allenai/StdMoE_1b14b_1T.json.minisig $ minisign -Vm StdMoE_1b14b_1T.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

No related models in this catalog.Nothing here lists this model as its parent, and it names no parent.
Get it
Download
$ HF_ENDPOINT=https://freeweights.allternit.com hf download allenai/StdMoE_1b14b_1T
Open in Freeweights Studio

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

Signed manifest
minisign, key 2DC28CC7B26A283B. StdMoE_1b14b_1T.json. Provenance. Takedown history: none.
Source
huggingface.co/allenai/StdMoE_1b14b_1T

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