Open source model signals
2026-10-07 · reviewer verdict: pass (confidence 0.8) · run 05994fce
This run found one corroborated open-weights signal and one unconfirmed one. Ranked list, most corroborated first: (1) Kolibri-1, status RANKED, 3 sources (S1, S4, S5), signal with higher confidence than a 2-source signal; (2) Jeff-Qwen3.5-0.8B, status RANKED, 1 source (S2), noise/unconfirmed. S1, S2 and S4 carry dates inside 30 Sep–7 Oct 2026 (3 October, 1 October and Oct 5). No Reddit thread was fetched in this run, so Reddit sentiment is not covered. Recommendation is more_evidence.
Models, most corroborated first
No models named.
What people are saying
- Kolibri-1 is listed on its Hugging Face card with Apache 2.0 and a release date of 3rd of October 2026 (S1), and a write-up dated Oct 5, 2026 reports the same release and licence (S4). [S1] [S4]
- A separate thread (S5) reports Kolibri-1 as a 78B MoE with 3,5B active parameters under Apache 2.0, and one commenter writes 'I'm sure the customers of my employer will also ask for this model.' [S5]
- Jeff-Qwen3.5-0.8B is described as a community preview v1.2 dated 1 October 2026 with Apache 2.0 weights, but only S2 reports it, so it stays unconfirmed at count 1. [S2]
Caveats
- Economics fields are unsourced zero placeholders; no price, cost or demand data was gathered, so no margin should be inferred.
- No Reddit thread (r/LocalLLaMA, r/MachineLearning, r/OpenSource) was fetched in this run, so community sentiment there is not covered.
- Kolibri-1 is RANKED with count 3 (S1, S4, S5); S4 is an editorial write-up of the same release, so true independence is partial.
- S5 supports text does not state a publication date, so S5 is not counted toward the dated-source minimum.
- Jeff-Qwen3.5-0.8B is RANKED with count 1 (S2), which is noise/unconfirmed; S2 states it is superseded and no longer updated.
- S3 is a roundup and counts for nothing under qualification gate 2. Out of scope, named only in S3: Clef, Clef-flash, Strands Decider 2B, Index-Translate-35B-A3B-preview, POCKET-Darwin-180B.
- Out of scope: Qwen3.5-0.8B, the base model named in the S2 supports text; it was not assessed.
- Only 2 models qualified and 1 of them has count 1, so the dataset is too thin to show a trend across the open-model field.
Sources
S1https://huggingface.co/Aleph-Alpha/Kolibri-1 — Aleph-Alpha / Kolibri-1 … | Model | Kolibri 1 | … | License | Apache 2.0 | … | Release Date | 3rd of October 2026 | (fetched 2026-10-07)S2https://huggingface.co/jeff-legacy/Jeff-Qwen3.5-0.8B — Community preview: v1.2 (1 October 2026), with nine LoRA adapters. … Weights: Apache 2.0 (from Qwen3.5-0.8B by the Qwen team, Alibaba Cloud). … Superseded: this model is from an earlier Jeff release and is no longer updated. (fetched 2026-10-07)S3https://local-ai-zone.github.io/blog/October_2026_AI_Model_Updates.html — Cloudflare ships Clef (27B) and Clef-flash (9B) decision models — Apache 2.0 weights, post-trained from Qwen bases, $0.24 and $0.09 per million input tokens on Workers AI. (fetched 2026-10-07)S4https://www.datacamp.com/blog/aleph-alpha-kolibri-1 — Oct 5, 2026· 14 min read … Kolibri 1 is Aleph Alpha's specialized bilingual large language model (LLM), released on October 3, 2026, under Apache 2.0. (fetched 2026-10-07)S5https://forums.developer.nvidia.com/t/aleph-alpha-kolibri-1-interesting-new-model-for-german-and-english-texts/384940 — Just released today. 78B MoE with 3,5B active parameters. Apache 2.0. … I'm sure the customers of my employer will also ask for this model. (fetched 2026-10-07)