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.…
Prompts, coding agent briefs and kits for writing and reviewing code with fewer tokens.
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.…
trevest · Kit
Adds Cloudflare Clef's decision head to a Qwen3.8-27B chat model, so one llama.cpp server on a 24 GB GPU both answers typed questions and chats. It is a LoRA a…
Shockem · Kit
Cuts the length of Qwen3.8-27B's reasoning on coding tasks so answers arrive sooner, as a small LoRA adapter. For people who run the base model on their own ha…
rapid-mlx · Kit
A 27B vision-language model compressed to 3.5 bits per weight for Apple Silicon Macs with 24 GB of memory, served locally through Rapid-MLX. Suits Mac users an…
RadixArk · Kit
A pre-quantized NVFP4 copy of Qwen3.8-27B that reads text, images and video and answers in text, served with SGLang on NVIDIA Blackwell GPUs. Suits developers…
QUASAR-QAT · Kit
Runs Qwen3.8-27B in 4-bit NVFP4 at 19.7 GB, trained with the QUASAR method to stay close to the full BF16 model. For people serving it with vLLM on an NVIDIA B…
mradermacher · Kit
GGUF quantized files of a 27.3B coding-distilled Qwen3.8 model, from 2-bit to 8-bit with an optional multi-modal supplement. They suit developers who run a cod…
lmstudio-community · Kit
Runs a 27B model that reads images and text in an 8-bit MLX build for Apple Silicon Macs. It suits people who want picture questions answered locally.
Jundot · Kit
Runs Qwen3.8-27B as an 8-bit mixed-precision MLX checkpoint with its vision encoder and MTP head, for image and text chat on Apple hardware. For people who wan…
Jundot · Kit
Runs the 27B Qwen3.8 vision-language model on MLX in about 17.5 GB, reading text, images and video with a 262,144-token context. A mixed-precision quantization…
JoyIndustrial · Kit
Answers multiple-choice style questions about images and text with option probabilities, using a Qwen3.8-27B decision system with built-in OCR. For developers…
Jackrong · Kit
Cuts reasoning time and cost for long agent tasks, as a GGUF build of a Qwen3.8-27B fine-tune. Made for people who run agent loops on their own machine and wan…
IteraCompute · Kit
Serves Qwen3.8-27B in NVFP4 on one RTX 5090 with vLLM, with a checksum-verified download, FP8 KV cache, tool calls and reasoning support. For developers self-h…
Egzakta · Kit
Reasons over images and text with fewer thinking tokens than its base Qwen3.8-27B, so answers arrive in about half the time at similar accuracy, per its card.…
dmeight · Kit
Runs Qwen3.8-27B at 8-bit through the Splash runtime in LM Studio on Apple silicon. An unofficial package that keeps the model closer to the original than the…
barozp · Kit
A 4-bit MLX build for Apple Silicon of a mixture-of-experts model carved from the dense Qwen3.8-27B, with 17.8B active of 27B total parameters. For people who…
autotrust · Kit
Speeds up Qwen3.8-27B NVFP4 decoding about 3.9 times on a DGX Spark, using the same weights and a tuned speculative-decoding setup. For teams serving it with v…
amd · Kit
Runs Qwen3.8-27B as a smaller MXFP4-quantized copy made with AMD Quark and AWQ, served through vLLM. Made for developers who want a compressed 27B vision-langu…
agentionai · Kit
Packs Qwen3.8-27B as llama.cpp GGUF files in eight sizes from 8.95 to 16.35 GiB, plus a vision projector. The author reports less drift from the BF16 model tha…
pentacoxian-dev · Kit
Runs Qwen3.8-27B with sparse attention on a single 24 GB GPU at a 262K-token context with image input, as GGUF files for people with a custom llama.cpp engine…
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…
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…
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…
bartowski · Kit
A set of GGUF quantizations of Qwen3.8-27B by bartowski, from Q8_0 down to 3-bit, made with an importance matrix. For people running a 27B vision-language mode…
turboderp · Kit
EXL3 quantized copies of Qwen3.8-27B in many bits-per-weight sizes, from 1.40 to 6.00. For people running the 27B model locally with ExLlamaV3 on limited GPU m…
sweetand · Kit
Helps developers on the 1C:Enterprise platform by reading and fixing BSL code and finding objects in XML exports. A Russian-first fine-tune of Qwen3.8-27B, off…
StillDeadcode · Kit
Qwen3.8-27B compressed to fifteen sizes from about 2.5 to 8 bits per weight, for the radiance engine on AMD RDNA4 GPUs, with image reading and a speed-up draft…
mlx-community · Kit
4-bit MLX conversion of Qwen3.8-27B that reads text and images and answers in text, run with the mlx-vlm tool. For developers who want to run a vision-language…
lmstudio-community · Kit
A GGUF quantization of Qwen's Qwen3.8-27B made by the LM Studio team with llama.cpp, for people who run a 27B model on their own computer.
higa2515 · Kit
BF16 source weights of Qwen3.8-27B with learned sparse attention indexers added, plus a reference Transformers loader, for people studying or deploying Qwen Sp…
bytkim · Kit
A 27B coding model tuned for the Pi agent framework, trained to read a repository, edit files, run tools and use their feedback, with adjustable reasoning effo…