Qwen3.8-27B-AWQ-INT4
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…
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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…
Contrastive-LM · Kit
Scores candidate answers, actions or tool names for a given state with a probability each, instead of writing text. A fast decision model on a frozen Qwen3-8B…
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…
byteshape · Kit
Runs Qwen3.6-35B-A3B from a GGUF quantization with Multi-Token Prediction for faster GPU decoding in llama.cpp. Made by ByteShape for people running local mode…
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…
bespokelabs · Kit
Scores yes or no questions, multiple-choice picks and rubric levels against a piece of text, using a LoRA adapter on Qwen3.5-9B. For developers who need a clas…
beipo-ai · Kit
Operates desktop and browser apps from screenshots with a 9B dense computer-use model built on Qwen3.5. Suits developers who build computer-use agents with the…
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…
sky7350 · Kit
A 4B classifier built on Qwen3.5-4B that reads an input and returns a probability for each allowed answer, for guardrails, routing, triage and agent gates. For…
SicariusSicariiStuff · Kit
A 32.8B-parameter English model built on Qwen3-32B and released in 8B, 32B and 70B versions. The card text shows only page styling, so its exact purpose is not…
ragentile · Kit
Writes GPU kernels and improves their speed through repeated tries against a test environment. A mixture-of-experts model trained from Qwen3.6-35B-A3B with rei…
Qwen · Kit
Gives researchers a pre-trained-only vision-language base model for fine-tuning and in-context learning experiments, not for direct chat. Suits developers who…
Qwen · Kit
A 4B chat model in GGUF format that runs locally in llama.cpp or ollama, with a thinking mode for reasoning and a plain mode for quick replies. Suits developer…
Qwen · Kit
Reasons through hard problems in a thinking mode and answers everyday chat in a faster non-thinking mode, as a 14.8B-parameter open model. Suits developers who…
mradermacher · Kit
Static GGUF quantizations of ccore/Qwen3.5-4B-GLB-3D-Coder, a 4.2B model, in sizes from 2.0 GB to 8.5 GB, plus two small multi-modal supplement files. Made by…
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…
gugujiji · Kit
Rewrites Chinese web-novel chapters so they read less like AI output, keeping plot, dialogue and characters as they are. A 4B model built on Qwen3-4B, for non-…
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…
Comfy-Org · Kit
Repackaged Qwen3-VL 4B and 8B model files for ComfyUI's text encoder folder, offered in several precisions from bf16 to 4-bit styles. For ComfyUI users who nee…
chtisgit · Kit
Runs a 35B Qwen model in a 2-bit GSQ GGUF conversion with a separate vision projector for llama.cpp. For people who want a large model in a small file on CPU o…
byteshape · Kit
Quantized GGUF versions of Qwen3.6-35B-A3B that read images and text, with CPU and GPU variants from about 9 GB, made with ByteShape's ShapeLearn. For develope…
anik-jha · Kit
Writes code with Qwen3.6-35B-A3B cut to half its experts and packed as GGUF files for llama.cpp. Made for developers who want a coding model that fits in less…
unsloth · Kit
Reads images and text and answers in text, as a small GGUF copy of Qwen3.5-2B by unsloth. Meant for local prototyping, fine-tuning and research.
oruk · Kit
Turns English speech into text. It is Qwen3-ASR-1.7B post-trained by reinforcement learning on word error rate, for developers and speech researchers who need…
Qwen · Kit
Reads text and images and writes text, as an FP8 copy of Qwen3.6-35B-A3B with 3B active parameters. For developers who run coding agents and want a smaller dow…
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…
Qwen · Kit
Turns text and code in over 100 languages into vectors for search, retrieval, classification and clustering, with adjustable vector size and task instructions,…
Qwen · Kit
Works as a coding agent model with 80B total and 3B active parameters and a 256K context. For developers who run agents in CLI and IDE tools and want to host t…
Qwen · Kit
Answers chat prompts with a 4B model that skips visible thinking and reads up to 256K tokens of context. For developers who want a small open assistant for rea…
prithivMLmods · Kit
GGUF copies of a small Qwen3.5 0.8B model whose weights were edited directly to reduce reasoning loops. For people who want to run it locally in several quant…
oguzeldereli · Kit
Runs Qwen3.8-Flash-Next, a 180B mixture-of-experts model squeezed to ternary weights, from one 40.4 GB GGUF file that is 4.6 times smaller than the FP8 release…
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…
NousResearch · Kit
A 14B hybrid reasoning model from Nous Research, built on Qwen3-14B. It can think step by step, call tools, and return JSON that follows a schema. It uses the…
nightmedia · Kit
An experimental 9.4B image-and-text model made by nightmedia, a merge of three 9B models aimed at reasoning and science questions. It suits hobbyists and resea…
mondk · Kit
A 4.2B text-generation model, fine-tuned from Qwen3.5-4B, that writes a 3D scene as one self-contained HTML file using Three.js. Open the file in a browser and…
MemTensor · Kit
Language model with a built-in memory state of fixed size, built on Qwen3.6-35B-A3B, that keeps past context without re-reading it. For researchers and develop…
jaredpalmer · Kit
Reads a document and typed questions, then returns a calibrated probability for each answer option in one pass, without writing text. A Qwen3.5-4B based decisi…
HemmingwayAI · Kit
Writes everyday messages and emails as one ready-to-send text instead of a list of options. A 27B model built on Qwen3.8-27B, free for non-commercial use, for…
GGUF build of LiquidAI's LFM2.5-2.6B with DavidAU's Turbo Brilliance system, adding 12 reasoning and 12 instruct modes you switch in the prompt. A 2.7B beta fo…
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…
Asteromorph · Kit
Scores how relevant each document is to a search query, with optional context, to reorder search results. A 4B open-weights reranker for science and general se…
unsloth · Kit
GGUF copies of Qwen3.5 9B that support multi-token-prediction speculative decoding in llama.cpp for faster generation. For people running the model locally who…
unsloth · Kit
Reads images and text and answers in text, as a small GGUF copy of Qwen3.5-0.8B by unsloth. Meant for local prototyping, fine-tuning and research.
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…
tcmofashi · Kit
Plays a persona in Chinese QQ group chats by reading the chat history and writing one short, casual reply with no visible reasoning. A merged 9B fine-tune of Q…
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…
StrandsAgents · Kit
Makes fast decisions for agent workflows by picking among options and rating things on a scale, with a calibrated confidence for every answer. For developers w…
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…