Mindket

AI projects from Hugging Face

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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…

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Ornith-1.5-35B-A3B-NVFP4

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…

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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…

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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…

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Ornith-1.0-9B-GGUF

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…

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Ornith-1.5-9B

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…

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Ornith-1.5-122B-NVFP4

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…

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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…

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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.

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Ornith-1.5-35B-A3B-GGUF

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…

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Ornith-1.5-9B-GGUF

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…

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