Bespoke-MiniCheck-7B
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View details ↗DISCOVER & COMPARE
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Bespoke-Nimble-9B
bespokelabs> **Update (September 24, 2026):** Updated to our latest 9B checkpoint, with an 8,192-token context limit and up to 255 choices per field. This release uses T=1.0; the earlier checkpoint remains available at `revision="original-2676"`, and v2 is unchanged. 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 release metadata. It requires the Qwen3.5-9B base checkpoint. The full base weights are not duplicated here.
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View details ↗Bespoke-Nimble-9B-v2
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View details ↗Bespoke-Nimble-9B-v3
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View details ↗Bespoke-Stratos-7B
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View details ↗d_m15
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View details ↗d_p5
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View details ↗Helios-Base
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View details ↗Helios-Distilled
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View details ↗mixedBJnC
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View details ↗qwen-image-2512-realism
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View details ↗z-image-turbo-realism
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View details ↗Ops-I
beyoru基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗Qwen3-TTS-12Hz-1.7B-Vi
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View details ↗omniasr-ctc-300m-v2
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View details ↗omniasr-llm-300m-v2
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View details ↗Qwen2.5-0.5B
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View details ↗MoD-Embedding
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BFS-Prover-V1-7B
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View details ↗BFS-Prover-V2-7B
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View details ↗Gemma-4-26B-A4B-it-NVFP4
bg-digitalservices**First community NVFP4 quantization** of google/gemma-4-26B-A4B-it — the Mixture-of-Experts variant of Gemma 4 with 25.2B total parameters and only 3.8B active per token. A/B comparison against the BF16 original, both served via vLLM on DGX Spark (GB10 Blackwell, SM 12.1). Quality via lm-evaluation-harness with `--apply_chat_template`. Math reasoning (GSM8K) takes a ≈4pp hit — chained numerical steps accumulate rounding errors. Instruction-following (IFEval) is essentially unaffected (≈1pp, within noise). Typical quantization signature.
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View details ↗No matching models
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