Qwen3.8-27B NVFP4
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.
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.
empero-ai · Kit
Runs a 35B Mixture-of-Experts model with about 3B active parameters per token from GGUF files in ten sizes, plus a vision projector. For llama.cpp, Ollama, LM…
baselabs · Kit
Answers a set of questions about a situation in one pass and returns a calibrated probability for each option. A 9B decision model from Base Labs at Baseten, t…
unsloth · Kit
Unsloth's GGUF quantized copy of Qwen3.5-4B, a small model that reads images and text and answers in text, for people running models locally.
Qwen · Kit
The smallest Qwen3 chat model, built on Qwen3-0.6B-Base. It switches between a thinking mode and a quicker plain mode, handles 100+ languages and a 32,768-toke…
Apexintelligence-AI · Kit
A text model for coding, tool use, question answering, search and research tasks, built on Qwen3.6-35B-A3B with about 3B parameters used per token. For develop…
unsloth · Kit
Runs Qwen3.6-35B-A3B locally from Unsloth's GGUF files with multi-token prediction for faster decoding in llama.cpp. Suits developers who want a local agentic…
Qwen · Kit
Gives researchers and developers a pre-trained 9B base model with a vision encoder, meant for fine-tuning and experiments rather than direct chat. Handles text…
Qwen · Kit
Generates text with a 4B Qwen3 model that switches between a thinking mode for hard reasoning and a plain mode for quick chat. Suits developers who want a smal…
perplexity-ai · Kit
A small Perplexity decision model built on Qwen3.5-4B that reads text and images and answers choice, yes-or-no and score questions with probabilities, for fast…
ML-Intern-lab · Kit
Solves math problems step by step with a small Qwen3.5-0.8B model whose weights an LLM edited directly, with no training, to stop repetition loops. For researc…
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…
unsloth · Kit
Unsloth's GGUF quantized copy of Qwen3.5-9B, a mid-size model that reads images and text and answers in text, for people running models locally.
ccore · Kit
Writes a complete Three.js page for a game asset you describe, with a 3D preview and an Export GLB button. A fine-tuned Qwen3-1.7B in GGUF that runs on modest…
XiaomiMiMo · Kit
A 9B agentic model from Xiaomi MiMo, fine-tuned from Qwen3.5-9B for coding, agent tasks, visual coding and cybersecurity, released as a starting point for rese…
qvac · Kit
A small 0.8B model for function calling and agent workflows, built on Qwen3.5-0.8B and light enough to run on a device, for developers who want a local assista…
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…
Qwen · Kit
Turns text into number vectors for search, retrieval, classification and clustering, in over 100 languages including code. The smallest, 0.6B-parameter text em…
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…