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…
Prompts, coding agent briefs and kits for writing and reviewing code with fewer tokens.
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…
Hcompany · Kit
Looks at screenshots and decides the next click, keystroke, code run or tool call, built on Qwen3.8-27B. A computer-use model for web, desktop and mobile agent…
Greatjedi · Kit
Runs a 27B Qwen3.8 model in GGUF files retuned for Intel Arc GPUs, with pure decode near 22 tokens a second in the author's tests. For people running llama.cpp…
Egzakta · Kit
Runs the 27B KVARK Sparkle 1.1 model from GGUF files in several sizes, with optional image input and speculative decoding. For people running models locally wi…
Egzakta · Kit
A 27B model tuned for document work: it searches a document base, answers from what it finds and says so when the answer is missing, for builders of document a…
Egzakta · Kit
GGUF files of KVARK Sparkle 1.0, a 27B vision-language model, for llama.cpp, Ollama and LM Studio, with the speculative-decoding head kept. For people running…
GGUF fine-tune of a 27B Qwen model by DavidAU, with switchable instruct and reasoning modes and a built-in help system. Hugging Face lists it as image text to…
Answers questions and reads images with much shorter thinking. GGUF builds of a 27B Qwen 3.8 tune from DavidAU that aims to cut reasoning tokens while keeping…
cyankiwi · Kit
A 4-bit AWQ quantization of Qwen3.8-27B by cyankiwi, a 27B vision-language model with thinking control. Weights are 21.02 GB and load in Transformers, vLLM or…
cdiamond · Kit
A 17.1 GB mixed-precision GGUF of Qwen3.8-27B that keeps its multi-token prediction layer, tuned for 256K context with vision on a 24 GB GPU. For people who ru…
bespokelabs · Kit
Gives a probability for every answer option when you pass a context and typed questions such as choices, yes or no, or ordered scores. A fine-tune of Qwen3.8-2…
agentionai · Kit
Gives shorter, more direct answers than Qwen3.8-27B by using fewer answer and thinking tokens, so replies finish sooner. A light fine-tune that drops into the…
xtools-at · Kit
Writes and explains code and works through reasoning problems, from a weighted merge of three Qwen3.8-27B fine-tunes. For developers who want one general-purpo…
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…
flechin · Kit
A 27B reasoning model tuned to answer plainly instead of hedging, quantized to MXFP4 so vLLM can serve it on a single 32 GB GPU, for developers who run local r…
empero-ai · Kit
Runs Qwen3.8-27B as a compact 3.7 bits-per-weight GGUF file that suits a 16 GB GPU, with optional image input. For people running models locally with llama.cpp…
ragentile · Kit
Reinforcement-learning tuned model for writing and speeding up GPU kernels, trained from a Qwen base with compile, correctness and timing feedback. For develop…
Qwen · Kit
A 27B Qwen model that reads text and images and replies in text, tuned for coding agents and repository-level work, for developers who run it with the transfor…
oguzeldereli · Kit
Runs Qwen3.8-27B squeezed to ternary weights as GGUF files that fit on a 12 GB GPU, in an 8.2 GB and a 6.74 GB variant. For people who want a large local model…
dglhf · Kit
Helps with agentic coding, with two models trained on PostgreSQL engine tasks. Slonik-27B and Slonik-9B come from Postgres Professional, for developers who wor…