Qwen3.8-27B-DFlash2-GGUF by z-lab
z-lab · Kit
A draft model in GGUF form that speeds up Qwen3.8-27B by proposing token blocks for the main model to verify. For people who run that model locally with llama.…
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Ornith-1.5-122B-NVFP4-DFlash2-RTX-Spark
Sherlock-Comms · Kit
Serves the 122B Ornith 1.5 model through vLLM with DFlash2 speculative decoding, using an unquantized output head. Made for RTX Spark laptops with 128 GB of me…
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Qwen3.8-Flash-Next-DFlash2-GGUF
nazeshinjite · Kit
GGUF draft model that speeds up Qwen3.8-Flash-Next in llama.cpp through speculative decoding, in 334 MiB and 622 MiB files. It is not a standalone model, and i…
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Flint-DFlash2
incoai · Kit
A 403M-parameter draft model that speeds up serving of the Flint language model with speculative decoding in SGLang, without changing its output. It is not a s…
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Bielik-11B-v3.1-DFlash2
speakleash · Kit
Pairs with the Bielik-11B-v3.1-Instruct model as a draft model for speculative decoding in SGLang or vLLM. It is not a standalone language model.
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Bielik-11B-v3.1-DFlash
speakleash · Kit
Serves as the DFlash draft model that pairs with Bielik-11B-v3.1-Instruct for speculative decoding in SGLang or vLLM. It is not a standalone language model. Fo…
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Kimi-K3.1-Dflash2-Preview
RadixArk · Kit
Speeds up Kimi-K3.1-Pro serving by drafting blocks of tokens that the main model checks in one pass. A draft model for SGLang users, used alongside the target…
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Qwen3.8-27B-DFlash2 by incoai
incoai · Kit
Speeds up Qwen3.8-27B by drafting blocks of tokens that the main model then checks, with output unchanged. A 1.9B draft model for SGLang and vLLM servers, not…
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Qwen3.8-27B-Splash
incoai · Kit
Serves Qwen3.8-27B on Apple silicon Macs through Inco AI's Splash engine, with a 4-bit model, a DFlash 2 draft and a vision encoder in one package. Works only…
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Qwen3.8-27B-DFlash2
z-lab · Kit
A draft model that speeds up Qwen3.8-27B by proposing a block of tokens for the main model to check. Not standalone. For people serving Qwen3.8-27B with SGLang…
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Qwen3.8-Flash-Next-DFlash2
incoai · Kit
Speeds up Qwen3.8-Flash-Next by drafting several tokens at once for the main model to check, for engineers who serve that model with SGLang and want faster out…
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