- 13 Nov, 2025 3 commits
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Kowyo authored
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Radhi authored
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Jeffrey Morgan authored
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- 06 Nov, 2025 4 commits
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Saifeddine ALOUI authored
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7394112478 authored
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mags0ft authored
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Saifeddine ALOUI authored
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- 05 Nov, 2025 2 commits
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nicole pardal authored
Co-authored-by:A-Akhil <akhilrahul70@gmail.com> This PR introduces a new ollama embed command that allows users to generate embeddings directly from the command line. Added ollama embed MODEL [TEXT...] command for generating text embeddings Supports both direct text arguments and stdin piping for scripted workflows Outputs embeddings as JSON arrays (one per line)
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Youdon authored
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- 03 Nov, 2025 2 commits
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Rajath Bail authored
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Ryan Coleman authored
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- 02 Nov, 2025 1 commit
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Attogram Project authored
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- 30 Oct, 2025 1 commit
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Athiban Sharon authored
Fixed broken docs links
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- 23 Oct, 2025 1 commit
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Vinh Nguyen authored
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- 16 Oct, 2025 1 commit
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weedge authored
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- 10 Sep, 2025 1 commit
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CarbonatedWater.org authored
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- 09 Sep, 2025 1 commit
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Kashyap Tanuku authored
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- 31 Aug, 2025 1 commit
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alpha-nerd-nomyo authored
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- 28 Aug, 2025 1 commit
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ofrancon authored
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- 18 Aug, 2025 4 commits
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Kostis authored
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Ruslan Suleymanov authored
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Kostis authored
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Jody Doolittle authored
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- 27 Jul, 2025 1 commit
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Mayan EDMS authored
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- 20 Jul, 2025 1 commit
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Stefan Wärting authored
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- 19 Jul, 2025 1 commit
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zmldndx authored
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- 17 Jul, 2025 1 commit
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Haiyue Wang authored
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- 06 Jul, 2025 1 commit
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Jeffrey Morgan authored
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- 03 Jul, 2025 1 commit
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Daniel Hiltgen authored
Favor the dmg now.
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- 01 Jul, 2025 1 commit
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XuKecheng authored
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- 29 Jun, 2025 1 commit
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Attogram Project authored
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- 23 Jun, 2025 1 commit
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AJ authored
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- 16 Jun, 2025 1 commit
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NGC13009 authored
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- 14 Jun, 2025 1 commit
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Phil authored
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- 10 Jun, 2025 3 commits
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Attogram Project authored
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Jeffrey Morgan authored
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Jeffrey Morgan authored
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- 31 May, 2025 1 commit
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HardCodeDev authored
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- 26 May, 2025 1 commit
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RAPID ARCHITECT authored
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- 24 May, 2025 1 commit
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Min Yoo authored
This commit updates the README to include macLlama within the community integrations section. macLlama is a native macOS application built for lightweight and efficient LLM interaction. Key features include: * **Lightweight & Native:** Designed to be resource-friendly and perform optimally on macOS. * **Chat-like Interface:** Provides a user-friendly, conversational interface. * **Multiple Window Support:** Allows users to manage multiple conversations simultaneously. The primary goal of macLlama is to offer a simple and easy-to-run LLM experience on macOS.
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