ReFoCo
yuji-nozawa · Kit
Pretrained vision transformer checkpoints in three sizes from a research paper on training attention heads to focus on image regions. For researchers who extra…
yuji-nozawa · Kit
Pretrained vision transformer checkpoints in three sizes from a research paper on training attention heads to focus on image regions. For researchers who extra…
XHToken · Kit
A compact 4.1B general-purpose language model with a native 1M-token context, over 200 languages and a hybrid attention design, tuned for coding and agent use.…
MinimaLabs · Kit
A 99M-parameter base language model trained from scratch on 100B tokens, with a hybrid attention design. Made for researchers and tinkerers who want a tiny ope…
Hooshaai · Kit
Classifies English text, such as SST-2 sentiment, with a RoBERTa Base model whose attention is made sparse by AdaSplash, trading some accuracy for lower latenc…
Hooshaai · Kit
A RoBERTa Base sentiment classifier whose attention is swapped for a sparse AdaSplash version, which zeroes out 40% of attention weights to cut time and memory…
Hooshaai · Kit
A DistilBERT text classifier fine-tuned on GLUE SST-2 that swaps in a compressed random-projection attention to halve the scoring work. An experiment for resea…
tahamajs · Kit
Swaps 18 of the 24 attention layers in Qwen2.5-0.5B for a hierarchical block attention operator, then distills it on WikiText-2. A research checkpoint for stud…
tahamajs · Kit
Swaps 18 of the 24 attention layers in Qwen2.5-0.5B for a mixture-of-experts attention block, then distills it on WikiText-2. A research checkpoint for studyin…
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…
meituan-longcat · Kit
Mixture-of-experts text model with 69B parameters, about 3B active per token, sparse attention and a 1M-token context. For teams hosting long-context models fo…
deepseek-ai · Kit
A 685B open reasoning model from DeepSeek with sparse attention for long context and a chat template that lets it think while it calls tools. For teams that ru…
zai-org · Kit
A 320B-parameter multimodal model with 18B active that reads text and images, with an adjustable thinking budget and a hybrid attention design for long context…
osunlp · Kit
Completes text as a small pretrained looped transformer with attention residuals. A base model for researchers who want to continue its training with their own…
keras-io · Kit
Shows the attention map behind an image classifier's decision, using a CNN with attention-based aggregation trained on ImageNette, in a Gradio page. For machin…
osunlp · Kit
An open 1.2B base language model from osunlp, a looped transformer with attention residuals, released with checkpoints from a 500B-token training run. For text…
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…
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…
baidu · Kit
Baidu's 3.3B document parsing model for long documents, using SR-SWA attention to keep decoding cost nearly flat, with Transformers and SGLang routes. Suits te…
zai-org · Kit
zai-org's natively multimodal GLM-5 series model with 320B total and 18B active parameters, with a hybrid sparse and linear attention design and a thinking bud…
prajwalpujari16 · Kit
A browser studio that simulates GPU PagedAttention block allocation, prefix caching, speculative decoding checks and KV-cache sizing. For engineers and student…
KumaPower · Kit
Fills in the masked holes of an image and shows two stages of the Coherent Semantic Attention method side by side, a rough result and a refined one. For people…
alexanderkroner · Kit
Predicts which parts of an image draw the eye first, using the MSI-Net model from a 2020 Neural Networks paper. For researchers and designers who want a quick…
webml-community · Kit
Shows how a Vision Transformer pays attention to parts of an image, as a static web page that runs in the browser. It is one of the transformers.js example pro…
plitip · Kit
Checks one site photo for safety hazards and gives a Safe, Needs attention or Unsafe verdict with short alerts in seven worker languages. Runs on vision models…
dustinliang666-blip · Skill
Gives AI agents and quant tools read-only data on how much news attention China A-share stocks and concept sectors get, through a remote MCP server or REST. Fo…
rasbt · Kit
The official code for Sebastian Raschka’s book on building a GPT-like LLM in PyTorch, one chapter at a time. The notebooks cover text data, attention, pretrain…
Skill
What is gaining attention in a niche this month, with examples, and which trends fit your brand