bespokelabs/Bespoke-Nimble-9B

text-classification model by bespokelabs

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A Qwen3.5-9B LoRA adapter for context-grounded choices, booleans, and rubric score levels. It scores the allowed answer tokens directly; the evaluated workflow does not generate reasoning or free-form answers. This repository contains the adapter (about 165 MiB), tokenizer, exact prompt builder, reference inference code, and aggregate evaluation results. It requires the Qwen3.5-9B base checkpoint. The full base weights are not duplicated here. License: Apache 2.0. More info: https://github.com/bespokelabsai/nimble Use a CUDA GPU with BF16 support. The original run used PyTorch 2.8.0 with CUDA 12.8. Install an appropriate CUDA build of PyTorch, then the remaining pinned requirements. The helper processes fields individually and preserves the training prompt and probability calculation. Authenticate with a Hugging Face token that can read…

bespokelabs/Bespoke-Nimble-9B on Hugging Face A short preview, not the full document.

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  1. Bespoke-Nimble-9B
  2. Loading and scoring

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Model overview

bespokelabs/Bespoke-Nimble-9B is a text-classification model repository published by bespokelabs on Hugging Face. The source reports the peft library.

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Model facts

Task
text-classification
Library
peft
Recent downloads (30 days)
382
Cumulative likes
125
Hugging Face trending score
124
Reported safetensors parameters
Not reported
Architecture
Not reported
License
apache-2.0
Access
Not gated by Hugging Face
Created
2026-09-18T01:18:02.000Z
Last modified
2026-09-18T08:50:35.000Z

Compatibility and lineage

Reported languages: en

Reported base models: Qwen/Qwen3.5-9B

Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.

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Model card and usage instructions

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Source: Hugging Face Hub. Metadata observed 2026-09-21T06:36:47.722Z. Daily imports are snapshots, not real-time monitoring.

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