Swift 1.5 Ornith 9B GGUF
ukisai · Kit
Runs Swift 1.5 Ornith 9B, a reasoning model tuned to think with fewer tokens, as GGUF quantizations for llama.cpp. For people who run a 9B reasoning model on t…
ukisai · Kit
Runs Swift 1.5 Ornith 9B, a reasoning model tuned to think with fewer tokens, as GGUF quantizations for llama.cpp. For people who run a 9B reasoning model on t…
ornith-ai · Kit
Writes code and handles terminal agent tasks, a mixture-of-experts model using about 3B parameters per token, packaged as an NVFP4 copy. For developers hosting…
AtomicChat · Kit
GGUF builds of Ornith 1.5 9B, a model that reads images and text, in sizes from 2.81 GB to 17.9 GB plus a vision projector. Pick the file that fits your graphi…
Sherlock-Comms · Kit
Serves the 122B Ornith 1.5 model through vLLM with DFlash2 speculative decoding, using an unquantized output head. Made for RTX Spark laptops with 128 GB of me…
ornith-ai · Kit
GGUF copy of a 9B open-source coding-agent model, trained with reinforcement learning to write solutions and the scaffolding around them. Built for single-GPU…
ornith-ai · Kit
Handles coding and terminal tasks as a 9B dense language model sized for a single GPU. For developers who want a small open model for software work, with a mob…
ornith-ai · Kit
Gives you an NVFP4 quantized copy of Ornith-1.5-122B, a 122B mixture-of-experts text model meant for single-GPU use and strong in coding tests. For developers…
unsloth · Kit
Runs the Ornith-1.5-122B text model on your own machine, as GGUF files made by unsloth. A 122B mixture-of-experts model aimed at coding and agent work on a sin…
pfeifferj · Kit
Shrinks the Ornith-1.5-35B-A3B text model to 3-bit and 3.5-bit GGUF files, about 13 and 15 GB instead of 69 GB, for people who run local models with llama.cpp.
ornith-ai · Kit
Runs a 35B mixture-of-experts text model tuned for coding and agent work, using only about 3B parameters per token. This repository holds its GGUF files for lo…
ornith-ai · Kit
Offers GGUF files of Ornith-1.5-9B, a 9B dense model trained through a self-improvement loop, for single-GPU use. Aimed at developers who want a small model wi…