KVARK Sparkle 1.1 (27B)
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
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…
gevaertlab · Kit
Scores the answer options of medical questions from text or images in one pass, without writing text. A research model from Stanford's Gevaert Lab, not a medic…
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…
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…
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…
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…
bartowski · Kit
GGUF quantizations of Jackrong's Qwopus3.8-27B-Coder-Flash, made by bartowski with an importance matrix, in sizes from 17 GB to 55 GB. For running a 27B model…
vllm-sr · Kit
Answers choice, yes-or-no and score questions about text, images or video in one call, returning a probability for each answer instead of text. A 27B decision…
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…
Qwen · Kit
Reads text and images and writes text, as a 27B Qwen model with a vision encoder and a 262,144-token native context. For developers who build assistants and ag…
prism-ml · Kit
Runs a 27B-class reasoning model as a 1-bit GGUF file of about 3.9 GB for llama.cpp, so it fits a laptop or one GPU. For people who want local reasoning on eve…
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…
ErtasAI · Kit
Open-weight medical language model squeezed to 22 GB, best at clinical calculations and facts from long patient records. For teams building medical AI products…
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…
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…
vllm-sr · Kit
Answers many questions about one text, image or video input at once, with a probability for each answer and no generated text. A 27B multimodal decision model…
sensenova · Kit
Builds short videos by writing and rendering executable code, with a 27B model fine-tuned from Qwen3.8-27B. Suits motion designers, teachers and marketers who…
JoyIndustrial · Kit
Answers structured questions about text and images with choices and probabilities, as a decision system from JD Industrials built on Qwen3.8-27B with built-in…
ggml-org · Kit
Runs Qwen3.8-27B, a 26.9B model that takes images and text and replies in text, as a GGUF file for local use through the llama tools. Made for people who want…
unsloth · Kit
A 4-bit NVFP4 copy of the Qwen3.8 27B vision-language model made by Unsloth, for serving with vLLM. For developers who want a dense model that reads images and…
sabicap · Kit
A 27B agentic text model built on Qwen3.8-27B with open-source RL environments, reporting higher terminal and coding-agent scores, for developers building codi…
nvidia · Kit
NVIDIA's 4-bit NVFP4 build of Alibaba's Qwen3.8-27B, made with Model Optimizer for Blackwell GPUs, taking text, image and video in and giving text back.
kusuriya-labs · Kit
An experiment that prunes Qwen3.8-27B to half its layers and retrains it, giving a 14.7B model for Japanese and English that the author says is not practical y…
Jackrong · Kit
Helps with coding and tool-using agent work as a GGUF fine-tune of Qwen3.8-27B, trained on about 200,000 code, agent and reasoning examples. For developers who…
HemmingwayAI · Kit
Writes everyday text such as emails, blog posts and product descriptions, and rewrites other AI text in a more personal voice. An open-weights model of about 2…
Sparset · Kit
A 4-bit GGUF copy of Thinklite-27B for llama.cpp that uses less reasoning per answer than its base model, for people running a 27B text model locally.
higa2515 · Kit
Runs Qwen3.8-27B with sparse attention from GGUF files in Q8_0 and Unsloth Q4, Q5 and Q6 mixes, with text, image and video input. For Linux users with NVIDIA G…
Cloudflare · Kit
Cloudflare's 27B multimodal model that scores the allowed answers to typed questions about a text, JSON, image or video input, instead of writing free text.
AtomicChat · Kit
Runs Nous Research's Arete 27B, a Qwen3.8-27B fine-tune that reads text and images, from GGUF files in six sizes with measured quality losses. For people runni…
Teriminal-RSI · Kit
Works through multi-step terminal tasks such as inspecting a repository, editing code and repairing dependencies. A 27.8B-parameter agent model built on Qwen3.…
Qwen · Kit
Handles text, images and video with FP8-quantized weights of Qwen3.8-27B, a 27B dense model with adjustable thinking. For developers serving it with transforme…
DavidAU · Kit
Runs Qwen3.8-27B in GGUF form with a set of reasoning and instruct modes you switch from your prompt. For people who run local models and like to tune how the…
baselabs · Kit
Answers a set of questions about a situation in one pass and returns a calibrated probability for each option. A 27B decision model from Base Labs at Baseten,…