t5-base-grammar-correction
vennify · Kit
Rewrites English text with fewer grammar mistakes, using a T5 model trained on the JFLEG dataset. Made by vennify for writers, students and developers who want…
vennify · Kit
Rewrites English text with fewer grammar mistakes, using a T5 model trained on the JFLEG dataset. Made by vennify for writers, students and developers who want…
SWivid · Kit
Turns text into speech with the F5-TTS flow-matching model, shipped as F5-TTS and E2 TTS base checkpoints. For developers and researchers working under a non-c…
stephenlb · Kit
Answers yes/no, multiple-choice and score questions about a text with a probability for each answer, using a Gemma 4 12B base with a small decision head. For d…
SparkAudio · Kit
Speaks Chinese and English from text with a Qwen2.5-based model, including zero-shot voice cloning and virtual voices set by gender, pitch and speaking rate. F…
Shockem · Kit
Cuts the length of Qwen3.8-27B's reasoning on coding tasks so answers arrive sooner, as a small LoRA adapter. For people who run the base model on their own ha…
Qwen · Kit
Completes and generates code as a 7.6B base language model that developers can run, fine-tune or use for fill in the middle tasks. Built for people making codi…
Qwen · Kit
The smallest base model in Qwen2.5, about 494M parameters with a 32,768-token context, meant for further training on your own data. For developers who want a t…
protectai · Kit
Flags English text that tries to hijack a language model, labeling each input as benign or prompt injection. For developers who screen user input in LLM apps.
openeurollm · Kit
Intermediate checkpoints of an experimental 9B base language model trained on 10T tokens, mostly English with a multilingual share. For researchers who follow…
neuralmind · Kit
A BERT model pretrained on Brazilian Portuguese that fills in masked words and produces text embeddings. For NLP developers and researchers who work with Portu…
mradermacher · Kit
Quantized GGUF copies of OneJev1.6-4B, from about 2 GB to 8.5 GB, for running the model on your own computer. The card does not say what the base model is for.
mlx-community · Kit
A 4-bit MLX copy of the 4.2B JevK5 chat model for Apple Silicon, with a 262,144 token context and a small memory footprint. Made for Mac users who want a quick…
mistralai · Kit
Generates and continues text as a 7B pretrained base model, for researchers and developers who want a starting point to test, tune or build on.
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…
KBlueLeaf · Kit
The MOSS-Image Base and SFT image transformers with their weights rescaled so they run in fp16 without overflow, giving the same outputs. For diffusers, ComfyU…
kandinskylab · Kit
Turns one reference image and a speech recording into an avatar video, animating the whole figure to match the speech. The distilled Lite version runs 16 steps…
ibm-granite · Kit
Holds GGUF copies of IBM's Granite 4.2 8B model in several quantization levels, ready for llama.cpp. For people who want to run the model locally and read its…
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
Classifies English text with a RoBERTa Base model shrunk to about 82M parameters by Fisher-weighted SVD at rank 32, trading some accuracy for lower latency and…
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…