Signal 3.8 27B
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…
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…
MongoDB · Kit
Multilingual text embedding model of 346M parameters from the Voyage 4 series, for semantic search and retrieval, with flexible vector sizes. For developers bu…
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…