CatalogWantedMirrorsLedgerOperating StatementDocsStudio statusCard system
alt.freeweights.olmo / Dense_1b_130B
From: allenai <huggingface.co/allenai>Newsgroups: alt.freeweights.olmoSubject:

Dense_1b_130B

Date: 2026-11-15Commit: 0887f48Signed: 2DC28CC7B26A283B ✓

Text generation model with 1.5B parameters. Safetensors weights, 5.95 GB in all. Published by allenai under Apache-2.0.

1.5B params5.95GBDense_1b_130Bsafetensorspermissive
FactsParams1.5BSize5.95 GBFormatssafetensorsTasktext generationLicenseApache-2.0From sourcepermissive
$ fw get allenai/Dense_1b_130B
# manifest sha256 fde73a78f247… · 5.95 GB · 15 files
$ fw verify ./Dense_1b_130B allenai/Dense_1b_130B
From sourceHosted (signed)allenai/Dense_1b_130BLast check: 2026-11-15 03:51 UTC
Run at homeGet help

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

Works with

Run24Fine-tune29Convert15Evaluate13Scan13Apps58
OverviewModel cardFilesUse itLicenseProvenanceModel tree

Overview

Size
5.95 GB
Weights
5.94 GB (safetensors)
Parameters
1.5B
Formats
safetensors
Task
text generation
License
Apache-2.0 (permissive)
Files
15, each with a sha256
Publisher
allenai
Added
2026-11-15
Section
alt.freeweights.olmo
Lineage

Original release from the publisher.

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 03:51 UTCpassed

Model card

From the publisher at commit 0887f48. Shown as plain text with links; images open at the publisher.

Dense_1b_130B#

An active-parameter-matched dense baseline released alongside EMO: Pretraining Mixture of Experts for Emergent Modularity — referred to as "Dense @ 8" in Figure 1 of the paper. Not midtrained.

1B parameter dense decoder-only Transformer (no MoE) pretrained from scratch on 130B tokens of the OLMoE pretraining mix. Provides an active-parameter-matched comparison point against 8-expert subsets carved out of the larger 1B/14B EMO models.

Usage#

from transformers import AutoModelForCausalLM, AutoTokenizer

model_id = "allenai/Dense_1b_130B"
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

15 files · 5.95 GBWeights 5.94 GB (safetensors). Sizes and sha256 from the signed manifest.
Hide all 15 files with their sha256
FileSizesha256
.gitattributes1.52 KB11ad7efa24975ee4b0c3c3a38ed18737f0658a5f75a0a96787b576a78a023361
README.md1.75 KB2d25278e1e59ee11118f04816e8d77128d84872ac65472d64fc91c2e47e4a9e4
chat_template.jinja196 B153280e3ff55d19da1398bdb3914ee2a51b80429bfaedde11d7d216c39db80f3
config.json849 B129bd2b5096e7e9d1caf12628d47f2acf1bf9d77a7c706967cc9f60fe3b623bb
configuration_olmo2_noqknorm_prenorm.py9.55 KB75cc30486deee3c3780ed624c16f9499f11e5861ec31db7931a6597a402fd71e
generation_config.json69 B49b7b376c9a77281e37b1544e00f6b83ffe1d46bd47ff1c5ee04a7d642ecbe2b
merges.txt917 KBb6fe424e334903f7fb84d3a106d9730455f4744b9fe3c21ee136d97a00e72502
model-00001-of-00002.safetensors4.98 GBbecfbeb17ae64c4e4aefbc70fe72170d53004eeded744c0b7c736e18fca6ed0c
model-00002-of-00002.safetensors956 MBbd9fc7c0858c17498af7b3143b3383d4ea9681a622989ef4c205daa25ebb31eb
model.safetensors.index.json12.2 KB533a7878266157c683e5f948d3f7c44f4c90dee3040f8b7d6ea9225f106652c3
modeling_olmo2_noqknorm_prenorm.py20.9 KB523fbc39591f788fad32197eeec6edf73bf8428de467f6ee60ebe4e4c2bd4262
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
0887f48cb7 pinned now2026-11-15 03:51 UTC15 files · 5.95 GB

Use it

$ fw get allenai/Dense_1b_130B
# manifest sha256 fde73a78f247… · 5.95 GB · 15 files
$ fw verify ./Dense_1b_130B allenai/Dense_1b_130B
fw.pyChecks the signature and every sha256, tries each source in order, resumes.
$ python3 fw.py get https://freeweights.allternit.com/manifests/allenai/Dense_1b_130B.json --dir ./Dense_1b_130B $ python3 fw.py verify ./Dense_1b_130B ./allenai__Dense_1b_130B.json
hfThe Hugging Face CLI with one setting. Same repo id.
$ HF_ENDPOINT=https://freeweights.allternit.com hf download allenai/Dense_1b_130B --revision 0887f48cb7e9b671182d9b9394858d6275e1485c --local-dir ./Dense_1b_130B
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/Dense_1b_130B", revision="0887f48cb7e9b671182d9b9394858d6275e1485c") model = AutoModelForCausalLM.from_pretrained("allenai/Dense_1b_130B", revision="0887f48cb7e9b671182d9b9394858d6275e1485c", device_map="auto")
vLLMServe an OpenAI-compatible API.
$ HF_ENDPOINT=https://freeweights.allternit.com vllm serve allenai/Dense_1b_130B --revision 0887f48cb7e9b671182d9b9394858d6275e1485c
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
2d25278e1e59ee11118f04816e8d77128d84872ac65472d64fc91c2e47e4a9e4
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: Dense_1b_130BDate: 2026-11-15Commit: 0887f48Signed: 2DC28CC7B26A283B ✓
Upstream
allenai/Dense_1b_130B
Pinned commit
0887f48cb7e9b671182d9b9394858d6275e1485c
Manifest
Dense_1b_130B.json · .minisig
Manifest sha256
fde73a78f24712bfb94ff31b97f8173a2bce8828f51b2dc9af2a74e2882255a0
Signature
minisign, Ed25519, key 2DC28CC7B26A283B
Created
2026-11-15 03:51 UTC
Generator
freeweights-manifest/0.1.0
Takedowns
None.

How to verify

$ curl -O https://freeweights.allternit.com/manifests/allenai/Dense_1b_130B.json $ curl -O https://freeweights.allternit.com/manifests/allenai/Dense_1b_130B.json.minisig $ minisign -Vm Dense_1b_130B.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/Dense_1b_130B
Open in Freeweights Studio

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

Signed manifest
minisign, key 2DC28CC7B26A283B. Dense_1b_130B.json. Provenance. Takedown history: none.
Source
huggingface.co/allenai/Dense_1b_130B

Related models

All of alt.freeweights.olmo →
From: bartowski <huggingface.co/bartowski>Subject: allenai_Olmo-3-7B-Instruct-GGUF
From: bartowski <huggingface.co/bartowski>Subject: allenai_Olmo-3-7B-Think-GGUF
From: bartowski <huggingface.co/bartowski>Subject: allenai_Olmo-3.1-32B-Instruct-GGUF
From: bartowski <huggingface.co/bartowski>Subject: allenai_Olmo-3.1-32B-Think-GGUF
From: bartowski <huggingface.co/bartowski>Subject: allenai_olmOCR-2-7B-1025-GGUF
From: bartowski <huggingface.co/bartowski>Subject: allenai_olmOCR-7B-0225-preview-GGUF