Up to date
allenai Apache 2.0 out 3 years ago
6.89B parameters, text in, text out.
Verified 2026-10-25 Rank #720 in LLMs · score 71.7 method v1 Sources 3 Downloads 30d 8.8k · #516 of 619 tracked
Picked by rule from 21 tracked pieces: the lab's own post, the most shared, a field report, the latest.
OLMo 2 32B claims to be the first fully-open model to outperform GPT3.5-Turbo and GPT-4o mini.
Ai2 releases Olmo-core 3, an open framework for training large mixture-of-experts models that scales efficiently into the trillion-parameter range.
The 2 picks above, plus these 19. Top is the radar's score: discussion, source authority and the lab's own posts, fading with age.
Hugging Face does not say who downloads a model or with what. These are the proxies: API providers listing it, quantized builds, fine-tunes/adapters/merges, and Spaces that load it.
No API provider serves it, so its downloads are people running it themselves.
Weights only, an estimate: leave room for the KV cache. Method
About 4.1 GB at INT4, 8.3 GB at FP8, 17 GB at BF16: weights only, so leave room for the KV cache.
Estimate params × bytes per param × 1.2 · how we estimate
Weights, every dated article, and repo commits on one rail.
Teal is the weights (2024-01-09), amber triangles are 10 dated articles (each links to it).
7 derivatives on the Hub. Which build to run, by runtime: the most downloaded in each class.
From the Hugging Face model tree; quantized builds in teal, fine-tunes, merges and adapters in greys.
Everything else, folded: the full tables, every source.
Labels are evidence, not verdicts: measured a third-party leaderboard row for this model; author-reported a number the model author published in the card or eval files; structural a deterministic signal from the name, config or chat template, or a decision-model estimate. Each chip links to its source. All use cases.
Listed in LLMs
| Pipeline tag | text-generation |
|---|---|
| Library | transformers |
| Architectures | OLMoForCausalLM |
| Model type | hf_olmo |
| Params by dtype | F32: 6,888,095,744 |
| Size band | M |
| MoE | no |
| Papers | arXiv:2402.00838, arXiv:2302.13971 |
| License | Apache 2.0 (apache-2.0) |
| Hub snapshot | 2026-10-25 |
Weights-only memory for OLMo-7B: params × bytes/param × 1.2 overhead. KV cache and activations are extra. How this is computed.
| BF16 (2 bytes/param) | 17 GB · Single GPU (<24 GB) |
|---|---|
| FP8 (1 byte/param) | 8.3 GB · Single GPU (<24 GB) |
| INT4 (0.5 bytes/param) | 4.1 GB · Single GPU (<24 GB) |
Weights only (params × bytes/param × 1.2 overhead); KV cache and activations extra.
finetune: 7
| Variant | Relation | Quant | Params | Band | License | Author | Likes | Downloads |
|---|---|---|---|---|---|---|---|---|
| itay1itzhak/OLMo-Tulu-Seed-0 | finetune | — | 6.89B | M | mit | itay1itzhak | 0 | 326 |
| joseagmz/olmo-7B-Tinybook-epochs-1-lr-0002 | finetune | — | — | — | apache-2.0 | joseagmz | 0 | 246 |
| itay1itzhak/OLMo-Tulu-Seed-1 | finetune | — | 6.89B | M | mit | itay1itzhak | 0 | 201 |
| itay1itzhak/OLMo-Flan-Seed-0 | finetune | — | 6.89B | M | apache-2.0 | itay1itzhak | 0 | 142 |
| itay1itzhak/OLMo-Flan-Seed-2 | finetune | — | 6.89B | M | mit | itay1itzhak | 0 | 136 |
| itay1itzhak/OLMo-Tulu-Seed-2 | finetune | — | 6.89B | M | apache-2.0 | itay1itzhak | 0 | 123 |
| itay1itzhak/OLMo-Flan-Seed-1 | finetune | — | 6.89B | M | apache-2.0 | itay1itzhak | 0 | 112 |
Ranked by source signals (HN, Lobsters, authority domains, official posts) and recency. Summaries are generated from a stored copy of the article text; every sentence cites a span of that text, and nothing is shown that failed the citation check.
arXiv links found in the model card and its tags. "Peer-reviewed" is shown only with evidence: a published venue in OpenAlex (measured) or the authors' own journal reference on arXiv (reported).
Hub snapshot: 2026-10-25 · Providers: 2026-10-24 21:44 UTC · Articles: 2026-10-24 21:46 UTC · Summary: 2026-10-23 20:12 UTC · Last verified 2026-10-25
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