Models › Bespoke family

Bespoke-Nimble-9B-v3

bespokelabs CC BY-NC 4.0 out 25 days ago

Verified 2026-10-25 Rank #0 in Decision models · score 0 method v1 Sources 3 Downloads 30d 623 · #604 of 619 tracked

Can I use it?CC BY-NC 4.0Non-commercial only; commercial hosting not permitted without a separate licenselicence file2026-10-24
Do people use it?623downloads, 30 days#604 of 619 we track · below the median+2 likes, downloads +17% this week14 likesHugging Face2026-10-24

Worth reading

Picked by rule from 3 tracked pieces: the lab's own post, the most shared, a field report, the latest.

3 best of 3 tracked

The 2 picks above, plus these 1. Top is the radar's score: discussion, source authority and the lab's own posts, fading with age.

  1. ArticleBespoke-Stratos: The unreasonable effectiveness of reasoning distillationbespokelabs.ai · 2025-01-26 · 13 HN pts

Where it's used

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: 1 quantized builds and 3 Spaces.

  • As a service0no API provider listed
  • On own hardware1quantized builds
  • Built on00 fine-tunes · 0 adapters · 0 merges
  • In apps3Hugging Face Spaces

Top Spaces running it: multimodalart/jev-decision-index ♥ 802

The story so far

Weights, every dated article, and repo commits on one rail.

Most coverage came in the first two weeks

Teal is the weights (2026-09-30), amber triangles are 3 dated articles (each links to it), grey ticks are repo commits.

OctNovDecJanFebMarAprMayJunJulAugSepOctNovDecJanFebMarAprMayJunJulAugSepOctNovDecJanFebMarAprMayJunJulAugSepOctNovDecJanFebMarAprMayJunJulAugSepOctNovDecJanFebMarAprMayJunJulAugSepOct2026-09-30: 3 repo commitsBespoke Nimble: open data, open model, open recipe for an open Jev · 2026-09-18Bespoke Synth 1.0 – open-source software modular synthesizer · 2021-09-14Bespoke-Stratos: The unreasonable effectiveness of reasoning distillation · 2025-01-26Weights 2026-09-30 · 2026-09-30Weights 2026-09-30now
OctNovDecJanFebMarAprMayJunJulAugSepOctNovDecJanFebMarAprMayJunJulAugSepOctNovDecJanFebMarAprMayJunJulAugSepOctNovDecJanFebMarAprMayJunJulAugSepOctNovDecJanFebMarAprMayJunJulAugSepOct2026-09-30: 3 repo commitsBespoke Nimble: open data, open model, open recipe for an open Jev · 2026-09-18Bespoke Synth 1.0 – open-source software modular synthesizer · 2021-09-14Bespoke-Stratos: The unreasonable effectiveness of reasoning distillation · 2025-01-26Weights 2026-09-30 · 2026-09-30Weights 2026-09-30now

What people built on it

1 derivative on the Hub. Which build to run, by runtime: the most downloaded in each class.

1 derivative on the Hub

From the Hugging Face model tree; quantized builds in teal, fine-tunes, merges and adapters in greys.

1 quantized (Hugging Face model tree)1 quantized
1 quantized (Hugging Face model tree)1 quantized

All variants →

Reference

Everything else, folded: the full tables, every source.

What the card says

2 cited sentences

Summary generated, cited

Bespoke-Nimble-9B-v3 is a LoRA adapter for the Qwen/Qwen3.5-9B base model.[1] The model returns probabilities for options when provided with context and typed questions.[2]

  1. “LoRA adapter for Qwen/Qwen3.5-9B”
  2. “returns a probability for each option”

Generated 2026-10-07 15:18 UTC by parasail-gemma-4-26b-a4b-it; each numeral points at the fact it rests on. Not a verdict.

Use-case evidence

1 use case

What it is good at 1 use case

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.

Facts

9 fields

Listed in Decision models

Facts

Librarypeft
MoEno
LicenseCC BY-NC 4.0 (cc-by-nc-4.0)
Hub snapshot2026-10-25

Decision facts

catalog

Decision-model catalog curated

How it was madeLoRA
Lineage bucketF - fine-tune of an open model (public/synthetic data)
Lineage evidenceHF base_model
Base modelQwen/Qwen3.5-9B
DI 0.2.1 score56.88 (self-reported)
Hosted price (input)self-hosted/M
Noteslicence changed to non-commercial
Sourcehttps://huggingface.co/bespokelabs/Bespoke-Nimble-9B-v3

All variants

1 variant

Lineage

Adapter Family: bespokelabs/Bespoke 1 derivative on the Hub

Base model: Qwen/Qwen3.5-9B

quantized: 1

Top variants (1 shown, ranked by downloads)

1 rows
Variant Relation Quant Params Band License Author Likes Downloads
ggml-org/Bespoke-Nimble-9B-v3-GGUF quantized GGUF — — cc-by-nc-4.0 ggml-org 11 20.7k

Repository changelog

3 commits

Repository changelog 3 commits

DateCommitSHA
2026-09-30 Rename to Bespoke-Nimble-9B-v3 8e927b9
2026-09-30 Nimble V3 253de67
2026-09-30 initial commit 6b69900

Articles and coverage

3 pieces

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.

Analysis2

bespokesynth.com2021-09-14HN front pageabout the Bespoke familyHN 745 pts · 242 comments350 words
Bespoke is a free, open-source modular synthesizer licensed under GPLv3 with releases for Mac, Windows, and Linux. It contains 190+ modules optimized for jamming and exploration instead of a global timeline. Users can pay $20 or $40 to donate to the NAACP Legal Defense and Educational Fund while accessing identical features.written, reviewed, cited
bespokelabs.ai2025-01-26about the Bespoke familyHN 13 pts · 2 comments767 words
Bespoke Labs released Bespoke-Stratos-32B, a reasoning model distilled from DeepSeek-R1 using Berkeley NovaSky's Sky-T1 data pipeline. The model outperforms Sky-T1 and o1-preview on Math and Code benchmarks while achieving near-DeepSeek-R1 performance with 47x fewer training examples. Training utilized the Bespoke Curator pipeline to generate the dataset within 1.5 hour, employing gpt-4o-mini to filter math solutions and increase retained correct solutions from 25% to 73%.written, reviewed, cited
  • The team found DeepSeek-R1 reasoning traces were sufficiently well-formatted for parsing without an intermediate reformatting step.
  • Sky-T1 authors noted they saw little or no improvement training 7B or 14B models with their data.

Community1

twitter.com2026-09-18about the Bespoke familyHN 7 pts · 0 comments

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Sources

3 sources

Sources

Hub snapshot: 2026-10-25 · HF API: 2026-10-24 21:44 UTC · Providers: 2026-10-24 21:44 UTC · Articles: 2026-10-24 21:46 UTC · Summary: 2026-10-07 15:18 UTC · Last verified 2026-10-25

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