An open Jev-style LoRA on Qwen3.5-9B from Bespoke Labs, trained on 2,676 contrastively curated examples to score the allowed answer tokens directly for enums, booleans and rubric levels. Recipe, data and a public benchmark suite are released with it.
Together AI's Jev-style classifier. A LoRA fine-tune of Qwen3.5-4B that reads a state, a question and 2 to 24 options and returns one option letter. Served on Together's platform; recipe published.
Decides
choice, noul, score, classify, route
choice, classify, route
Architecture
nimble
tev
Fine-tuned from
qwen/qwen3.5-9b
qwen/qwen3.5-4b
License
apache-2.0
Unspecified — weights licence being finalised
Availability
Open weights + hosted API
Open weights + hosted API
Hosted by
Bespoke Labs
Together AI
Input price
—
$0.042/MTok
Decision accuracy
90.1%
88.0%
Calibration error
0.054
—
Valid action rate
—
—
Median latency
106 ms
—
p95 latency
—
—
Evaluation suite
Bespoke held-out set (324 examples)
Figures are from each model’s manifest; accuracy and latency are what the publishers report, on their own suites and hardware. Add a third model.
Questions
What is the difference between bespoke-nimble-9b and tev1?
bespoke-nimble-9b is from Bespoke Labs and tev1 from Together AI. Both have open weights and a hosted API. Both answer choice, classify and route questions. Only bespoke-nimble-9b answers noul and score. tev1 is the smaller model, at 4.0B parameters to 9.0B. bespoke-nimble-9b is licensed apache-2.0; tev1, other.
Which is more accurate, bespoke-nimble-9b or tev1?
They report on different suites — bespoke-nimble-9b 90.1% on Bespoke held-out set (324 examples), tev1 88.0% on Together development set (reused, not held out) — so the numbers do not rank them. Test both on your own labelled examples.
Which is cheaper, bespoke-nimble-9b or tev1?
bespoke-nimble-9b: Hosted, price not published, or free to self-host. tev1: $0.042 / $0 per 1M, or free to self-host. Open weights cost nothing per call beyond your own hardware.
Can I run bespoke-nimble-9b or tev1 locally?
Yes, both: systemone pull bespoke-labs/bespoke-nimble-9b and systemone pull together-ai/tev1 download the weights.
