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Verified 2026-10-25 Rank #356 in LLMs · score 81.2 method v1 Sources 3 Downloads 30d 1.8k · #581 of 619 tracked
Picked by rule from 13 tracked pieces: the lab's own post, the most shared, a field report, the latest.
On 13 May, 2024, the Technology Innovation Institute released Falcon 2, an open-source model series where Falcon 2 11B scores 64.28 on the Hugging Face leaderboard, narrowly trailing Google's Gemma 7B at 64.29.
The 3 picks above, plus these 10. 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: 2 quantized builds and 90 Spaces.
Top Spaces running it: Vokturz/can-it-run-llm ♥ 1,053 · HuggingFaceH4/falcon-chat ♥ 557 · h2oai/h2ogpt-chatbot ♥ 295 · h2oai/h2ogpt-chatbot2 ♥ 167
Weights, every dated article, and repo commits on one rail.
Teal is the weights (2023-05-25), amber triangles are 6 dated articles (each links to it), grey ticks are repo commits.
8 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.
Falcon-40B-Instruct is a 40B parameters causal decoder-only model developed by TII for text generation.[1][2] The model is finetuned on a mixture of Baize and is released under the Apache 2.0 license.[3][4]
Generated 2026-10-07 15:08 UTC by parasail-gemma-4-26b-a4b-it; each numeral points at the fact it rests on. Not a verdict.
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 | FalconForCausalLM |
| Model type | falcon |
| Dtype | bfloat16 |
| MoE | no |
| Languages | en |
| Papers | arXiv:2205.14135, arXiv:1911.02150, arXiv:2005.14165, arXiv:2104.09864, arXiv:2306.01116, arXiv:2304.01196 |
| License | Apache 2.0 (apache-2.0) |
| Hub snapshot | 2026-10-25 |
vLLM: supported · FalconForCausalLM · 7050ef881ff0835f6890a47db1859a24c65481d6SGLang: supported · FalconForCausalLM · 773cb938fe9484a8f7e7e46fb1b1fe96412c59ed
vLLM registry (7050ef881ff0835f6890a47db1859a24c65481d6) · SGLang registry (773cb938fe9484a8f7e7e46fb1b1fe96412c59ed) · Matched by architecture class name against each project's registry on main; 'supported' means the architecture is registered, not that this checkpoint was tested.
quantized: 2adapter: 3finetune: 3
| Variant | Relation | Quant | Params | Band | License | Author | Likes | Downloads |
|---|---|---|---|---|---|---|---|---|
| mradermacher/falcon-40b-instruct-i1-GGUF | quantized | GGUF | — | — | apache-2.0 | mradermacher | 1 | 24.1k |
| mradermacher/falcon-40b-instruct-GGUF | quantized | GGUF | — | — | apache-2.0 | mradermacher | 0 | 13.6k |
| mubashirsaeed/care-bot-harry-potter-falcon-40b | adapter | — | — | — | — | mubashirsaeed | 0 | 83 |
| anirudh2403/results | finetune | — | — | — | apache-2.0 | anirudh2403 | 0 | 43 |
| raulgdp/falcon-40b-instruct-009 | adapter | — | — | — | apache-2.0 | raulgdp | 0 | 30 |
| Shishir17/falcon40binstruct_mentalhealthmodel_oct23 | adapter | — | — | — | apache-2.0 | Shishir17 | 0 | 25 |
| lucas0/empath-falcon-40b | finetune | — | — | — | apache-2.0 | lucas0 | 0 | 0 |
| miragexy/ins_fine_tuned_falcon40B | finetune | — | — | — | — | miragexy | 0 | 0 |
| Date | Commit | SHA |
|---|---|---|
| 2023-09-29 | Move to in-library model (for real this time) (#86) | ecb78d9 |
| 2023-07-13 | Revert in-library PR (#67) | ca78eac |
| 2023-07-12 | Move to in-library checkpoint (#60) | 7475ff8 |
| 2023-06-09 | Update README.md: Update Model Description to reference Falcon-40B as the base model for falcon-40b-instruct (#17) | 1e7fdcc |
| 2023-06-09 | Add usage recommendations | 6f1c467 |
| 2023-06-05 | Update citation info | 4e8f82c |
| 2023-06-05 | Add hf endpoint handler.py (#30) | b55d7ec |
| 2023-05-31 | Remove TII Falcon LLM license | 5b94094 |
| 2023-05-31 | Update license information to Apache 2.0 | 7205e7e |
| 2023-05-31 | Update README.md (#10) | 8fac8c1 |
| 2023-05-30 | license: tii-falcon-llm (#5) | 93e2373 |
| 2023-05-30 | Update config.json | 662a9a4 |
| 2023-05-30 | Update README.md | de92598 |
| 2023-05-30 | Update modelling_RW.py | 357dc3f |
| 2023-05-26 | Add model card | 38377d0 |
| 2023-05-26 | Add license | 74aef5b |
| 2023-05-25 | Update modelling_RW.py | 74e0515 |
| 2023-05-25 | Upload tokenizer | 7a666cb |
| 2023-05-25 | Upload RWForCausalLM | e22aa38 |
| 2023-05-25 | initial commit | 61aa3b4 |
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 · HF API: 2026-10-24 21:38 UTC · Providers: 2026-10-24 21:44 UTC · Articles: 2026-10-24 21:46 UTC · Summary: 2026-10-07 15:08 UTC · Last verified 2026-10-25
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