Qwen3.8-27B-CodeForge-3xMerge i1 GGUF
mradermacher · Kit
Importance-matrix GGUF quants of the Qwen3.8-27B-CodeForge-3xMerge model, from about 11 GB to 22.5 GB, for local use. For people running 27B models on their ow…
Prompts, coding agent briefs and kits for writing and reviewing code with fewer tokens.
mradermacher · Kit
Importance-matrix GGUF quants of the Qwen3.8-27B-CodeForge-3xMerge model, from about 11 GB to 22.5 GB, for local use. For people running 27B models on their ow…
lododoai · Kit
Runs as a local text model, a Qwen3.6-35B-A3B fine-tune trained on data written by Qwen3.8-27B and packed as one GGUF file for llama.cpp. For people who run mo…
khazarai · Kit
Debugs and reviews code by checking real files before it proposes a fix, a Qwen3.8-27B fine-tune trained on 195M tokens of reasoning traces. For developers who…
kaitchup · Kit
Compresses Qwen3.8-27B into three GGUF files with different size and fidelity levels, using a custom statistically lossless quantization. For people who run th…
Jundot · Kit
A mixed-precision MLX copy of Qwen3.8-27B at about 6.9 bits per weight, with the vision encoder and multi-token prediction head included, for running locally o…
jarrodwatts · Kit
A small weight edit for Qwen3.8-27B, with a script that applies it, that cuts the model's thinking length on open-ended tasks by changing a single matrix, with…
Jackrong · Kit
Trims wasted reasoning in long agent tasks, as a GGUF build of the second Flash fine-tune of Qwen3.8-27B with better Python formatting. For people who run agen…
Jackrong · Kit
Writes code, calls tools and works through software tasks as a coding agent. A 27.8B fine-tune of Qwen3.8-27B by Jackrong, trained on about 200,000 code and re…
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…
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…