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@@ -4,21 +4,38 @@
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- [BIOS](#bios)
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- [References](#references)
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- [Notes](#notes)
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- [Firmware and Kernel](#firmware-and-kernel)
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- [Kernel args](#kernel-args)
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- [Volume Locations](#volume-locations)
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- [Setup](#setup)
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- [Create the AI user](#create-the-ai-user)
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- [Helper aliases](#helper-aliases)
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- [Create the models dir](#create-the-models-dir)
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- [Install the Hugging Face CLI](#install-the-hugging-face-cli)
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- [Samba Model Storage](#samba-model-storage)
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- [Download models](#download-models)
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- [Text models](#text-models)
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- [GPT-OSS](#gpt-oss)
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- [Mistral](#mistral)
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- [Nemotron](#nemotron)
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- [Qwen](#qwen)
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- [GLM](#glm)
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- [Llama](#llama)
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- [Gemma](#gemma)
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- [Dolphin (Abliterated)](#dolphin-abliterated)
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- [Image models](#image-models)
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- [Create the systemd-ai pod](#create-the-systemd-ai-pod)
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- [Z-Image](#z-image)
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- [Flux](#flux)
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- [Qwen Image 2512](#qwen-image-2512)
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- [Embedding Models](#embedding-models)
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- [Nomic](#nomic)
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- [llama.cpp](#llamacpp)
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- [stable-diffusion.cpp](#stable-diffusioncpp)
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- [open-webui](#open-webui)
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- [VLLM](#vllm)
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- [Install the whole thing with quadlets (TM)](#install-the-whole-thing-with-quadlets-tm)
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- [Install the update script](#install-the-update-script)
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- [Voice Cloning](#voice-cloning)
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## BIOS
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@@ -32,6 +49,22 @@
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## Notes
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### Firmware and Kernel
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See: <https://github.com/kyuz0/amd-strix-halo-toolboxes?tab=readme-ov-file#-stable-configuration>
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Current stable is kernel 6.18.3-200 with linux-firmware 20251111
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### Kernel args
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Edit /etc/default/grub and add the following:
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```conf
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amd_iommu=off amdgpu.gttsize=126976 ttm.pages_limit=32505856
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```
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Then `grub2-mkconfig -o /boot/grub2/grub.cfg` and `reboot`.
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### Volume Locations
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`~/.local/share/containers/storage/volumes/`
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@@ -45,7 +78,8 @@
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useradd -m ai
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loginctl enable-linger ai
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su -l ai
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mkdir -p ~/.config/containers/systemd/
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mkdir -p /home/ai/.config/containers/systemd/
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mkdir -p /home/ai/.ssh
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```
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Models are big. You'll want some tools to help find large files quickly when space runs out.
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@@ -75,7 +109,7 @@ alias sd-edit-logs='journalctl --user -xeu stable-diffusion-edit-server'
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### Create the models dir
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```bash
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mkdir -p /home/ai/models/{text,image,video}
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mkdir -p /home/ai/models/{text,image,video,embedding,tts,stt}
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```
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### Install the Hugging Face CLI
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@@ -90,12 +124,34 @@ curl -LsSf https://hf.co/cli/install.sh | bash
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hf auth login
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```
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### Samba Model Storage
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I recommend adding network storage for keeping models offloaded. This mounts a samba share at `/srv/models`.
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```bash
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# Add this to /etc/fstab
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//driveripper.reeselink.com/smb_models /srv/models cifs _netdev,nofail,uid=1001,gid=1001,credentials=/etc/samba/credentials 0 0
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# Then mount
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systemctl daemon-reload
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mount -a --mkdir
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```
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Here are some sync commands that I use to keep the samba share in sync with the home directory:
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```bash
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# Sync models from home dir to the samba share
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rsync -av --progress /home/ai/models/ /srv/models/
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```
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### Download models
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#### Text models
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<https://huggingface.co/ggml-org/collections>
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##### GPT-OSS
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```bash
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# gpt-oss-120b
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mkdir /home/ai/models/text/gpt-oss-120b
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@@ -104,7 +160,11 @@ hf download --local-dir /home/ai/models/text/gpt-oss-120b ggml-org/gpt-oss-120b-
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# gpt-oss-20b
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mkdir /home/ai/models/text/gpt-oss-20b
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hf download --local-dir /home/ai/models/text/gpt-oss-20b ggml-org/gpt-oss-20b-GGUF
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```
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##### Mistral
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```bash
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# devstral-2-123b
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mkdir /home/ai/models/text/devstral-2-123b
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hf download --local-dir /home/ai/models/text/devstral-2-123b unsloth/Devstral-2-123B-Instruct-2512-GGUF Q4_K_M/Devstral-2-123B-Instruct-2512-Q4_K_M-00001-of-00002.gguf
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@@ -121,10 +181,22 @@ hf download --local-dir /home/ai/models/text/ministral-3-14b ggml-org/Ministral-
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# ministral-3-3b-instruct
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mkdir /home/ai/models/text/ministral-3-3b-instruct
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hf download --local-dir /home/ai/models/text/ministral-3-3b-instruct ggml-org/Ministral-3-3B-Instruct-2512-GGUF
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```
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##### Nemotron
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```bash
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# nemotron-nano-30b
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mkdir /home/ai/models/text/nemotron-nano-30b
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hf download --local-dir /home/ai/models/text/nemotron-nano-30b ggml-org/Nemotron-Nano-3-30B-A3B-GGUF Nemotron-Nano-3-30B-A3B-Q4_K_M.gguf
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```
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##### Qwen
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```bash
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# qwen3-30b-a3b-thinking
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mkdir /home/ai/models/text/qwen3-30b-a3b-thinking
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hf download --local-dir /home/ai/models/text/qwen3-30b-a3b-thinking ggml-org/Qwen3-30B-A3B-GGUF Qwen3-30B-A3B-Q4_K_M.gguf
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# qwen3-30b-a3b-instruct
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mkdir /home/ai/models/text/qwen3-30b-a3b-instruct
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@@ -133,17 +205,98 @@ hf download --local-dir /home/ai/models/text/qwen3-30b-a3b-instruct ggml-org/Qwe
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# qwen3-coder-30b-a3b-instruct
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mkdir /home/ai/models/text/qwen3-coder-30b-a3b-instruct
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hf download --local-dir /home/ai/models/text/qwen3-coder-30b-a3b-instruct ggml-org/Qwen3-Coder-30B-A3B-Instruct-Q8_0-GGUF
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# qwen3-coder-next
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mkdir /home/ai/models/text/qwen3-coder-next
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hf download --local-dir /home/ai/models/text/qwen3-coder-next --include "unsloth/Qwen3-Coder-Next-GGUF Q5_K_M/*.gguf"
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# qwen3-vl-30b-thinking
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mkdir /home/ai/models/text/qwen3-vl-30b-thinking
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hf download --local-dir /home/ai/models/text/qwen3-vl-30b-thinking unsloth/Qwen3-VL-30B-A3B-Thinking-1M-GGUF Qwen3-VL-30B-A3B-Thinking-1M-Q4_K_M.gguf
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hf download --local-dir /home/ai/models/text/qwen3-vl-30b-thinking unsloth/Qwen3-VL-30B-A3B-Thinking-1M-GGUF mmproj-F16.gguf
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# qwen3-vl-8b-instruct
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mkdir /home/ai/models/text/qwen3-vl-8b-instruct
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hf download --local-dir /home/ai/models/text/qwen3-vl-8b-instruct Qwen/Qwen3-VL-8B-Instruct-GGUF Qwen3VL-8B-Instruct-Q4_K_M.gguf
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hf download --local-dir /home/ai/models/text/qwen3-vl-8b-instruct Qwen/Qwen3-VL-8B-Instruct-GGUF mmproj-Qwen3VL-8B-Instruct-Q8_0.gguf
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# qwen3-4b-2507-abliterated
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mkdir /home/ai/models/text/qwen3-4b-2507-abliterated
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hf download --local-dir /home/ai/models/text/qwen3-4b-2507-abliterated prithivMLmods/Qwen3-4B-2507-abliterated-GGUF Qwen3-4B-Thinking-2507-abliterated-GGUF/Qwen3-4B-Thinking-2507-abliterated.Q4_K_M.gguf
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```
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##### GLM
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```bash
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# glm-4.7-flash-30b
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mkdir /home/ai/models/text/glm-4.7-flash-30b
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hf download --local-dir /home/ai/models/text/glm-4.7-flash-30b unsloth/GLM-4.7-Flash-GGUF GLM-4.7-Flash-Q4_K_M.gguf
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```
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##### Llama
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```bash
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# llama4-scout
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mkdir /home/ai/models/text/llama4-scout
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# Remember to move the gguf files into the llama4-scout folder, otherwise it won't pick up
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hf download --local-dir /home/ai/models/text/llama4-scout unsloth/Llama-4-Scout-17B-16E-Instruct-GGUF --include "Q4_K_M/*.gguf"
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hf download --local-dir /home/ai/models/text/llama4-scout unsloth/Llama-4-Scout-17B-16E-Instruct-GGUF mmproj-F16.gguf
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```
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##### Gemma
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```bash
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# Note "it" vs "pt" suffixes. "it" is instruction following, "pt" is the base model (not as good for out-of-the-box use)
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# gemma-3-27b-it
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mkdir /home/ai/models/text/gemma-3-27b-it
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hf download --local-dir /home/ai/models/text/gemma-3-27b-it unsloth/gemma-3-27b-it-GGUF gemma-3-27b-it-Q4_K_M.gguf
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hf download --local-dir /home/ai/models/text/gemma-3-27b-it unsloth/gemma-3-27b-it-GGUF mmproj-F16.gguf
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```
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##### Dolphin (Abliterated)
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```bash
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# dolphin-x1-8b
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mkdir /home/ai/models/text/dolphin-x1-8b
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hf download --local-dir /home/ai/models/text/dolphin-x1-8b dphn/Dolphin-X1-8B-GGUF Dolphin-X1-8B-Q4_K_M.gguf
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# dolphin-mistral-24b-venice
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mkdir /home/ai/models/text/dolphin-mistral-24b-venice
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hf download --local-dir /home/ai/models/text/dolphin-mistral-24b-venice bartowski/cognitivecomputations_Dolphin-Mistral-24B-Venice-Edition-GGUF cognitivecomputations_Dolphin-Mistral-24B-Venice-Edition-Q4_K_M.gguf
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```
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#### Image models
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##### Z-Image
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```bash
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# z-turbo
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# Fastest image generation in 8 steps. Great a text and prompt following.
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# Lacks variety.
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mkdir /home/ai/models/image/z-turbo
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hf download --local-dir /home/ai/models/image/z-turbo QuantStack/FLUX.1-Kontext-dev-GGUF flux1-kontext-dev-Q4_K_M.gguf
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hf download --local-dir /home/ai/models/image/z-turbo black-forest-labs/FLUX.1-schnell ae.safetensors
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hf download --local-dir /home/ai/models/image/z-turbo unsloth/Qwen3-4B-Instruct-2507-GGUF Qwen3-4B-Instruct-2507-Q4_K_M.gguf
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# z-image
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# Full version of z-turbo. Needs 28-50 steps.
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# Note, image quality not as good as z-turbo
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mkdir /home/ai/models/image/z-image
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hf download --local-dir /home/ai/models/image/z-image unsloth/Z-Image-GGUF z-image-Q4_K_M.gguf
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hf download --local-dir /home/ai/models/image/z-image black-forest-labs/FLUX.1-schnell ae.safetensors
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hf download --local-dir /home/ai/models/image/z-image unsloth/Qwen3-4B-Instruct-2507-GGUF Qwen3-4B-Instruct-2507-Q4_K_M.gguf
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```
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##### Flux
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```bash
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# flux2-klein
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# Capable of generating images in 4 steps
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mkdir /home/ai/models/image/flux2-klein
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hf download --local-dir /home/ai/models/image/flux2-klein leejet/FLUX.2-klein-9B-GGUF flux-2-klein-9b-Q4_0.gguf
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hf download --local-dir /home/ai/models/image/flux2-klein black-forest-labs/FLUX.2-dev ae.safetensors
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hf download --local-dir /home/ai/models/image/flux2-klein unsloth/Qwen3-8B-GGUF Qwen3-8B-Q4_K_M.gguf
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# flux-1-kontext
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mkdir /home/ai/models/image/flux-1-kontext
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hf download --local-dir /home/ai/models/image/flux-1-kontext leejet/Z-Image-Turbo-GGUF z_image_turbo-Q4_K.gguf
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@@ -152,12 +305,21 @@ hf download --local-dir /home/ai/models/image/flux-1-kontext comfyanonymous/flux
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hf download --local-dir /home/ai/models/image/flux-1-kontext comfyanonymous/flux_text_encoders t5xxl_fp16.safetensors
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```
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### Create the systemd-ai pod
|
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|
|
##### Qwen Image 2512
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|
|
|
|
|
|
|
You'll at least want the ai pod and network. Copy `ai.pod` and `ai.network` out
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|
|
of `quadlets` into `~/.config/containers/systemd`.
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```bash
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Then run `systemctl --user daemon-reload && systemctl --user start ai-pod`
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```
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#### Embedding Models
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##### Nomic
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```bash
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# nomic-embed-text-v2
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mkdir /home/ai/models/embedding/nomic-embed-text-v2
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hf download --local-dir /home/ai/models/embedding/nomic-embed-text-v2 ggml-org/Nomic-Embed-Text-V2-GGUF
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|
|
```
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## llama.cpp
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@@ -172,20 +334,38 @@ export BUILD_TAG=$(date +"%Y-%m-%d-%H-%M-%S")
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# Vulkan
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podman build -f .devops/vulkan.Dockerfile -t llama-cpp-vulkan:${BUILD_TAG} -t llama-cpp-vulkan:latest .
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# ROCM
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podman build -f .devops/rocm.Dockerfile -t llama-cpp-rocm:${BUILD_TAG} -t llama-cpp-rocm:latest .
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# Run llama server (Available on port 8000)
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# Add `--n-cpu-moe 32` to gpt-oss-120b to keep minimal number of expert in GPU
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podman run \
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--rm \
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--name llama-server-demo \
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--pod systemd-ai \
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--device=/dev/kfd \
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--device=/dev/dri \
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--pod systemd-ai-internal \
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-v /home/ai/models/text:/models:z \
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localhost/llama-cpp-vulkan:latest \
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--port 8000 \
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-c 64000 \
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-b 64000 \
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-ub 500 \
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-c 32000 \
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--perf \
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--n-gpu-layers all \
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--jinja \
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--models-max 1 \
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--models-dir /models
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# ROCM
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|
podman run \
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--rm \
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--name llama-server-demo \
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--device=/dev/kfd \
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--device=/dev/dri \
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--pod systemd-ai-internal \
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|
-v /home/ai/models/text:/models:z \
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|
localhost/llama-cpp-rocm:latest \
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--port 8000 \
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|
-c 0 \
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|
--perf \
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--n-gpu-layers all \
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|
--jinja \
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|
|
@@ -222,14 +402,67 @@ localhost/stable-diffusion-cpp:latest \
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|
--llm /models/image/z-turbo/Qwen3-4B-Instruct-2507-Q4_K_M.gguf \
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|
|
--cfg-scale 1.0 \
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-v \
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-H 1024 \
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-W 1024 \
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--seed -1 \
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|
--steps 8 \
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|
--vae-conv-direct \
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|
|
-H 1024 \
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|
-W 1024 \
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|
|
-o /output/output.png \
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|
|
-p "A photorealistic dragon"
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|
|
# z-image
|
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|
|
podman run --rm \
|
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|
|
-v /home/ai/models:/models:z \
|
|
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|
|
-v /home/ai/output:/output:z \
|
|
|
|
|
--device /dev/kfd \
|
|
|
|
|
--device /dev/dri \
|
|
|
|
|
localhost/stable-diffusion-cpp:latest \
|
|
|
|
|
--diffusion-model /models/image/z-image/z-image-Q4_K_M.gguf \
|
|
|
|
|
--vae /models/image/z-image/ae.safetensors \
|
|
|
|
|
--llm /models/image/z-image/Qwen3-4B-Instruct-2507-Q4_K_M.gguf \
|
|
|
|
|
--cfg-scale 1.0 \
|
|
|
|
|
-v \
|
|
|
|
|
--seed -1 \
|
|
|
|
|
--steps 28 \
|
|
|
|
|
--vae-conv-direct \
|
|
|
|
|
-H 1024 \
|
|
|
|
|
-W 1024 \
|
|
|
|
|
-o /output/output.png \
|
|
|
|
|
-p "A photorealistic dragon"
|
|
|
|
|
|
|
|
|
|
# flux2-klein
|
|
|
|
|
podman run --rm \
|
|
|
|
|
-v /home/ai/models:/models:z \
|
|
|
|
|
-v /home/ai/output:/output:z \
|
|
|
|
|
--device /dev/kfd \
|
|
|
|
|
--device /dev/dri \
|
|
|
|
|
localhost/stable-diffusion-cpp:latest \
|
|
|
|
|
--diffusion-model /models/image/flux2-klein/flux-2-klein-9b-Q4_0.gguf \
|
|
|
|
|
--vae /models/image/flux2-klein/ae.safetensors \
|
|
|
|
|
--llm /models/image/flux2-klein/Qwen3-8B-Q4_K_M.gguf \
|
|
|
|
|
--cfg-scale 1.0 \
|
|
|
|
|
--steps 4 \
|
|
|
|
|
-v \
|
|
|
|
|
--seed -1 \
|
|
|
|
|
--vae-conv-direct \
|
|
|
|
|
-H 1024 \
|
|
|
|
|
-W 1024 \
|
|
|
|
|
-o /output/output.png \
|
|
|
|
|
-p "A photorealistic dragon"
|
|
|
|
|
|
|
|
|
|
# Edit with flux2 klein
|
|
|
|
|
.\bin\Release\sd-cli.exe \
|
|
|
|
|
--diffusion-model /models/image/flux2-klein/flux-2-klein-9b-Q4_0.gguf \
|
|
|
|
|
--vae /models/image/flux2-klein/ae.safetensors \
|
|
|
|
|
--llm /models/image/flux2-klein/Qwen3-8B-Q4_K_M.gguf \
|
|
|
|
|
--cfg-scale 1.0 \
|
|
|
|
|
--sampling-method euler \
|
|
|
|
|
-v \
|
|
|
|
|
--vae-conv-direct \
|
|
|
|
|
--steps 4
|
|
|
|
|
-r .\kontext_input.png \
|
|
|
|
|
-p "change 'flux.cpp' to 'klein.cpp'" \
|
|
|
|
|
|
|
|
|
|
# Edit with flux kontext
|
|
|
|
|
podman run --rm \
|
|
|
|
|
-v /home/ai/models:/models:z \
|
|
|
|
|
@@ -271,6 +504,33 @@ podman run \
|
|
|
|
|
ghcr.io/open-webui/open-webui:main
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
Use the following connections:
|
|
|
|
|
|
|
|
|
|
| Service | Endpoint |
|
|
|
|
|
| -------------------- | ----------------------------------------- |
|
|
|
|
|
| llama.cpp | <http://host.containers.internal:8000> |
|
|
|
|
|
| stable-diffusion.cpp | <http://host.containers.internal:1234/v1> |
|
|
|
|
|
|
|
|
|
|
## VLLM
|
|
|
|
|
|
|
|
|
|
```bash
|
|
|
|
|
--group-add=video \
|
|
|
|
|
--cap-add=SYS_PTRACE \
|
|
|
|
|
--security-opt seccomp=unconfined \
|
|
|
|
|
--env "HF_TOKEN=$HF_TOKEN" \
|
|
|
|
|
--ipc=host \
|
|
|
|
|
|
|
|
|
|
mkdir -p /home/ai/vllm/.cache/huggingface
|
|
|
|
|
|
|
|
|
|
podman run --rm \
|
|
|
|
|
--device /dev/kfd \
|
|
|
|
|
--device /dev/dri \
|
|
|
|
|
-v /home/ai/vllm/.cache/huggingface:/root/.cache/huggingface:z \
|
|
|
|
|
-p 8002:8000 \
|
|
|
|
|
docker.io/vllm/vllm-openai-rocm:latest \
|
|
|
|
|
--model Qwen/Qwen3-0.6B
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
## Install the whole thing with quadlets (TM)
|
|
|
|
|
|
|
|
|
|
```bash
|
|
|
|
|
@@ -278,7 +538,7 @@ ghcr.io/open-webui/open-webui:main
|
|
|
|
|
scp -r active/device_framework_desktop/quadlets/* deskwork-ai:.config/containers/systemd/
|
|
|
|
|
ssh deskwork-ai
|
|
|
|
|
systemctl --user daemon-reload
|
|
|
|
|
systemctl --user restart ai-pod.service
|
|
|
|
|
systemctl --user restart ai-internal-pod.service
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
Note, all services will be available at `host.containers.internal`. So llama.cpp
|
|
|
|
|
@@ -290,8 +550,10 @@ will be up at `http://host.containers.internal:8000`.
|
|
|
|
|
# 1. Builds the latest llama.cpp and stable-diffusion.cpp
|
|
|
|
|
# 2. Pulls the latest open-webui
|
|
|
|
|
# 3. Restarts all services
|
|
|
|
|
scp active/device_framework_desktop/update-script.sh deskwork:
|
|
|
|
|
scp active/device_framework_desktop/update-script.sh deskwork-ai:
|
|
|
|
|
ssh deskwork-ai
|
|
|
|
|
chmod +x update-script.sh
|
|
|
|
|
./update-script.sh
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
## Voice Cloning
|