Hy-Memory-30B-A3B
tencent · Kit
Writes an assistant's long-term memory, choosing what to keep and how to update it inside Mem0, MemOS or Hy-Memory, with about 3B active parameters. For develo…
tencent · Kit
Writes an assistant's long-term memory, choosing what to keep and how to update it inside Mem0, MemOS or Hy-Memory, with about 3B active parameters. For develo…
summerAIO · Kit
Summarizes, answers questions about and continues book-length text with a fine-tuned 27B model that uses Gated DeltaNet layers, in English and Japanese. For pe…
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…
sky7350 · Kit
Gives a probability for each allowed answer to a question about a given state, as yes/no, a choice or a score, without writing text. For developers who add qui…
sarvamai · Kit
A mixture-of-experts language model from Sarvam AI with 32.2B parameters and 2.4B active per token, built for practical use in English and many Indian language…
sarvamai · Kit
The GGUF version of Sarvam-105B, a large mixture-of-experts model with a focus on Indian languages, split into 9 shards at 4-bit for llama.cpp. For people with…
rizzoaiacademy · Kit
A small CPU-friendly model that finds 22 kinds of personal data in Italian legal text, including codice fiscale and partita IVA, for reversible anonymization.…
ReadyArt · Kit
Text generation model of 31.3B parameters from ReadyArt, built on Google's gemma-4-31b-it and stored as Safetensors. Its page gives no statement of purpose, so…
Qwen · Kit
Reads images and text together and answers in text, as a mixture-of-experts model with 122B total and 10B active parameters. Suits teams with big GPU servers w…
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
GGUF copy of a 32B code chat model that runs locally with llama.cpp. It writes, explains and fixes code from plain requests, for developers who want to run it…
Qwen · Kit
Writes, explains and fixes code as a tiny 494M-parameter chat model with a 32,768-token context. Suits developers who want the smallest open Qwen coding model…
Qwen · Kit
A 4-bit AWQ build of Qwen2.5-7B-Instruct, a 7.6B chat model that follows instructions, handles tables and returns JSON. For developers who want a capable chat…
Qwen · Kit
Answers questions, writes code, does maths and returns structured JSON as a 14.7B-parameter chat model with a context window up to 131,072 tokens. Suits develo…
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…
Qwen · Kit
A judge model called Q-Judger that grades AI-made images against the prompt that asked for them, scoring five groups of criteria and replying in JSON. For peop…
Qwen · Kit
A driving model built on Qwen3.5-4B that sees in 3D, answers questions about road scenes and plans future vehicle paths. For researchers working on autonomous…
QUASAR-QAT · Kit
Runs Qwen3.8-27B in 4-bit NVFP4 at 19.7 GB, trained with the QUASAR method to stay close to the full BF16 model. For people serving it with vLLM on an NVIDIA B…
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.
prithivMLmods · Kit
Sorts a photo into two classes, female or male, with a fine-tuned SigLIP 2 image model. Made for developers and researchers who want a small Python classifier…