#9.) How to START your XAIGPUARC ONEKLICK AI-MACHINE?!
#0.) FIRST INTEL_ONE_API_BASEKIT MUST BE INSTALLED ON YOUR PC/LAPTOP/SYSTEM USE ---PREXAIGPUARC--- for HELP!!! Download the official Paket from Intel itself and install it manuall if you got problems above your Paketmanager Install.
#0.) Second. Use the MKL/LEVELZERO Script to proof everything goes right for your System!
#1.) Kopie XAIGPUARC.sh in your Home/PCNAME/ Folder!
#2.) Between XAIGPUARC Full INSTALLATION Download a gguf AI fit in your
#a.) V/RAM to /models/HereAINAME also in your Home/PCNAME/models/HereAINAME Folder!
#3.) Change your Modell manual in the XAIGPUARC.sh!
#b.) Open Console and Type: chmod +x ./XAIGPUARC.sh Enter...
#4.) START with type in Console ./XAIGPUARC.sh Enter...
sudo pacman -Rns intel-compute-runtime intel-level-zero-gpu oneapi-level-zero
Pakete installieren: Installiere die Arch-nativen Treiber, um Binär-Konflikte mit dem oneAPI-Installer zu vermeiden:
sudo pacman -S intel-compute-runtime level-zero-loader intel-opencl-clang ocl-icd
ICD-Konflikte lösen: Deaktiviere alte/doppelte Profile, damit clinfo nicht über intel64.icd stolpert:
sudo mv /etc/OpenCL/vendors/intel64.icd /etc/OpenCL/vendors/intel64.icd.disabled
Environment setzen: Zwinge das System auf das korrekte Intel-Profil (Wichtig für A770-Erkennung):
export OCL_ICD_VENDORS=/etc/OpenCL/vendors/intel.icd
oneAPI-Vars (falls nötig): Initialisiere die Pfade nur für den Compiler, nicht für die Runtime:
bass source /opt/intel/oneapi/setvars.sh --force
Funktionstest: Prüfe die GPU-Erkennung (muss jetzt ohne "Binärdatei-Fehler" laufen):
sycl-ls && clinfo | grep -i "Arc A770"
sudo pacman -Rns intel-compute-runtime intel-level-zero-gpu oneapi-level-zero des zuerst, dann im pakemanager oneapi raus und toolkit version installieren dann das hier bass source /opt/intel/oneapi/setvars.sh --force sudo pacman -S intel-compute-runtime level-zero-loader intel-opencl-clang ocl-icd und dann das hier wenn der befehl stimmt sudo mv /etc/OpenCL/vendors/intel64.icd /etc/OpenCL/vendors/intel64.icd.disabled auch das habe ich gemacht export OCL_ICD_VENDORS=/etc/OpenCL/vendors/intel.icd sycl-ls && clinfo | grep -i "Arc A770"
#-XAIGPUARC Hardware used to Build and Test
#-6x Intel ARC 2xA770LE 16GB + 4x750LE 8GB
#-90-142 Watt Chip Power Draw alone each Card at different LLMs
#-Example: GPT-OSS-20B-F16 does it very nice at low Wattage
#-but needs longer than full working MathTutor F16 with 142 Watt
#-Use multible Models for a better Workflow
#-All the Hardware is Modded and not Stock Compareable!
#-PLS watch your good Cooling and Dust Free System
#-3x Single and Dual dGPUs on AMD Ryzen 2600 2700x / Intel i7 6700K on Z170 RAM 16GB till 128GB
#-2x Intel iGPU XE Alder Lake Gen (12700H + 12650H) + A730m 12 GB + 32GB DDR4/5 RAM
#-1x Intel Core Ultra 7 155H Meteor Lake 8 Core Xe-LPG 128EU ARC 16GiB
#-Quad Channel High Bandwith RAM Gear2 with 718GB/s
#-11,5 GiB VRAM shared from this RAM
#-On 155H i7 GPT-OSS-20B-F16.gguf runs well but slow at 30 Watt allinone with mods
#-BF16 Models not recommend for Alechmist
#-1+ till 6+ means 1+ is best double ++ is Better +++ is Insane Wonderfull AI Magic
#-CTX-NPG is the Context Size and N-Predigt Size
#-Lower them if your Modell not fit! You see this do not care about the GPU alone below
#F16 Mode Only #6GB+ GPU A730m/A380/A310
#kani-tts-400m-en-f16_q8_0.gguf
#0.53 GB FAST CTX-NPG 8K A770LE: 588.6 Pt/s 62.4 Gt/s 100w 2.4Ghz - CPU FIRESTARTER 1++
#baidu.ERNIE-4.5-0.3B-Base-PT.f16.gguf
#0.69 GB FAST CTX-NPG 8K A770LE: 469.7 Pt/s 52.5 Gt/s 97w 2.4Ghz + CPU Mid 3+
#MedScholar-1.5B-f16_q8_0.gguf
#2.1 GB FAST CTX-NPG 8k A770LE: 528.2 Pt/s 25.2 Gt/s 109w 2.4Ghz - CPU 2+
#Qwen2.5-VL-3B-Instruct-f16-q4_k.ggu
#2.1 GB FAST CTX-NPG 16k A730m: 511.2 Pt/s 12.5 Gt/s 65w 2.05Ghz - CPU 1++
#yasserrmd.DentaInstruct-1.2B.f16.gguf
#2.2 GB
#DeepCoder-1.5B-Preview-f16_q8_0.gguf
#2.2 GB FAST CTX-NPG 8k A770LE: 513.2 Pt/s 23.3 Gt/s 112w 2.3Ghz + CPU Mid TK 3+
#ibm-granite.granite-4.0-1b.f16.gguf
#3 GB SLOW CTX-NPG 8k A770LE: 569.4 Pt/s 18.2 Gt/s 120w 2.3Ghz - CPU 5+
#Lucy-1.7B-F16.gguf
#3.2 GB FAST CTX-NPG 16k A770LE: 572.7 Pt/s 23.2 Gt/s 108w 2.4Ghz - CPU TK 1++
#FAST CTX-NPG 16k A730m: 382.2 Pt/s 14.7 Gt/s 65w 2.05Ghz - CPU TK 1++
#FAST CTX-NPG 16k iGPU8XE: 2384.5 Pt/s 9.0 Gt/s 30w 2.25Ghz - CPU TK 1++
#granite-4.0-micro-f16_q8_0.gguf
#4.6 GB 5+
#gemma-2-2b-it.F16.gguf
#4.9 GB FAST CTX-NPG 16k A730m: 305.8 Pt/s 14.4 Gt/s 65w 2.2Ghz - CPU 2+
#8GB+ GPU A750LE
#Fathom-Search-4B-f16_q8_0.gguf
#5.5 GB FAST CTX-NPG 8k A770LE: 569.4 Pt/s 18.2 Gt/s 118w 2.4Ghz - CPU TK 2+
#Qwen2.5-7B-Instruct-f16-q4_k.gguf
#5.7 GB FAST CTX-NPG 8k A770LE: 511.5 Pt/s 19.7 Gt/s 142w 2.4Ghz - CPU 1+
#Qwen2.5-VL-3B-Instruct-f16.gguf
#5.8 GB FAST 1+
#SmolLM3-3B-f16.gguf
#5.8 GB FAST CTX-NPG 16k A770LE: 2137.2 Pt/s 19.1 Gt/s 119w 2.4Ghz - CPU TK 1++
#FAST CTX-NPG 16k iGPU8XE: 4640.1 Pt/s 6.9 Gt/s 30w 2.25Ghz - CPU TK 1++
#FAST CTX-NPG 16k A730m: 965 Pt/s 13.3 Gt/s 65w 2.05Ghz - CPU TK 1++
#MiniCPM-V-4-f16.gguf
#6.7 GB FAST CTX-NPG 16k A770LE: 619.8 Pt/s 19.8 Gt/s 142w 2.4Ghz - CPU
#FAST CTX-NPG 16k A730m: 382.2 Pt/s 14.7 Gt/s 65w 2.05Ghz - CPU 1++
#FAST CTX-NPG 16k iGPU8XE: 880.5 Pt/s 7.2 Gt/s 30w 2.25Ghz - CPU 1++
#10-12GB+ iGPU Xe-LPG/A730m/A580/B570/B580/PROA60/B50
#Qwen3-4B-f16.gguf
#7.5 GB FAST CTX-NPG 8k A770LE: 613.4 Pt/s 14.5 Gt/s 120w 2.4Ghz - CPU TK 1+
#Nemotron-Mini-4B-Instruct-f16.gguf
#7.8 GB FAST CTX-NPG 8k A770LE: 717.8 Pt/s 17.8 Gt/s 118w 2.4Ghz - CPU 2+
#SLOW CTX-NPG 16k iGPU8XE: 534.8 Pt/s 6.5 Gt/s 30w 2.25Ghz - CPU 1++
#Minitron-4B-Base.FP16.gguf
#7.8 GB FAST CTX-NPG 4k A770LE: 764.3 Pt/s 16.3 Gt/s 131w 2.4Ghz + CPU Mid 4+
#t5-v1_1-xxl-encoder-f16.gguf
#8.9 GB FAST CTX-NPG 8k A770LE: 361,8 Pt/s 6 Gt/s 101w 2.4Ghz - CPU 2++
#16GB+ GPU A770LE + iGPU Meteor Lake
#MiMo-Embodied-7B-f16_q8_0.gguf
#10.7 GB
#MiniCPM4.1-8B-f16_q8_0.gguf
#11 GB FAST CTX-NPG 8k A770LE: 842.9 Pt/s 11.0 Gt/s 142w 2.4Ghz + CPU 1+
#KernelLLM-f16_q8_0.gguf
#11.1 GB FAST CTX-NPG 8k A770LE: 688.5 Pt/s 11.2 Gt/s 137w 2.4Ghz - CPU 1+
#SLOW CTX-NPG 16k iGPU8XE: 29.6 Pt/s 3.0 Gt/s 30w 2.25Ghz - CPU 1+
#Jan-v2-VL-high-f16_q8_0.gguf
#11.4 GB FAST CTX-NPG 8k A770LE: 639.6 Pt/s 10.2 Gt/s 135w 2.4Ghz - CPU TK 2+
#Orchestrator-8B-f16_q8_0.gguf
#11.4 GB FAST CTX-NPG 16k A770LE: 643.3 Pt/s 10.1 Gt/s 134w 2.4Ghz - CPU TK 2+
#MiroThinker-v1.0-8B-f16_q8_0.gguf
#11.4 GB 2+
#Seed-Coder-8B-Reasoning-f16_q8_0.gguf
#11.5 GB 2+
#Ministral-3-8B-Reasoning-2512-f16_q8_0.gguf
#11.7 GB 2+
#ggml-model-f16.gguf
#12.6 GB FAST CTX-NPG 4k A770LE: 1012.7 Pt/s 13.5 Gt/s 142w 2.4Ghz - CPU 4+
#gpt-oss-20b-F16.gguf
#12.8 GB SLOW CTX-NPG 16k A770LE: 34.5 Pt/s 7.7 Gt/s 90W 2.3Ghz + FULL CPU 1+
#SLOW CTX-NPG 16k iGPU8XE: 9.6 Pt/s 4.6 Gt/s 30w 2.25Ghz - CPU 1++
#Navid-AI.Yehia-7B-preview.f16.gguf
#13 GB FAST CTX-NPG 4k A770LE: 1273.4 Pt/s 13.4 Gt/s 142w 2.4Ghz - CPU 1++
#Mistral-7B-Instruct-v0.3.fp16.gguf
#13.5 GB 2+
#Mamba-Codestral-7B-v0.1-F16.gguf
#13.6 GB SLOW CTX-NPG 16k A770LE: 110.1 Pt/s 3.2 Gt/s 97w 2.4Ghz + CPU FULL 2+
#MathTutor-7B-H_v0.0.1.f16.gguf
#14.2 GB FAST CTX-NPG 16k A770LE: 525.0 Pt/s 13.8 Gt/s 142w 2.4Ghz - CPU 1++
#END F16 MODEL LIST
#START Q8-Q4-IQ4-2 MODEL LIST NOT F16!
#6GB+ GPU A730m/A380/A310
#phi-2.Q4_K_M.gguf
#1.7 GB FAST CTX-NPG 8k A770LE: 888.6 Pt/s 25.4 Gt/s 128w 2.4Ghz - CPU 1++
#openhermes-2.5-mistral-7b.Q4_K_M.gguf
#4.1 GB FAST 2+
#mistral-7b-instruct-v0.2.Q4_K_M.gguf
#4.1 GB SLOW 2+
#8GB+ GPU A750LE
#OpenMath-Mistral-7B-v0.1-hf_Q6_K.gguf
#5.5 GB FAST CTX-NPG 8k A770LE: 1233.9 Pt/s 14.4 Gt/s 145w 2.4Ghz - CPU 1+
#NVIDIA-Nemotron-Nano-12B-v2-IQ4_NL.gguf
#6.6 GB SLOW CTX-NPG 16k iGPU8XE: 28.6 Pt/s 2.3 Gt/s 30w 2.15Ghz - CPU 2++
#wizardcoder-python-7b-v1.0.Q8_0.gguf
#6.7 GB SLOW 2+
#sauerkrautlm-7b-v1.Q8_0.gguf
#6.7 GB FAST CTX-NPG 8k A770LE: 1364.6 Pt/s 12.1 Gt/s 142w 2.4Ghz - CPU 2+
#10-12GB+ iGPU Xe-LPG/A730m/A580/B570/B580/PRO60/B50
#Qwen3-16B-A3B-IQ4_NL.gguf
#8.5 GB FAST 2+
#Qwen3-30B-A3B-UD-IQ2_XXS.gguf
#9.7 GB SLOW CTX-NPG 16k iGPU8XE: 16.3 Pt/s 4.0 Gt/s 30w 2.25Ghz - CPU TK 2+
#solar-10.7b-instruct-v1.0-uncensored.Q8_0.gguf
#10.6 GB FAST CTX-NPG 16k A770LE: 985.6 Pt/s 7.5 Gt/s 135w 2.4Ghz - CPU 1++
#gpt-oss-20b-claude-4-distill.MXFP4_MOE.gguf
#11.3 GB SLOW CTX-NPG 8k A770LE: 35.4 Pt/s 8.7 Gt/s 92W 2.2Ghz + FULL CPU 3+
#SLOW CTX-NPG 16k A730m: 14.9 Pt/s 4.5 Gt/s 40w 1.3Ghz + FULL CPU 3+
#16GB+ A770LE #velara-11b-v2.Q8_0.gguf #11.3 GB FAST 2+++ #Deepseek-Coder-V2-Lite-13B-Instruct-sft-s1K.i1-Q6_K.gguf
#13.1 GB FAST CTX-NPG 8k A770LE: 22.7 Pt/s 7.9 Gt/s 98W 2.4Ghz - CPU 3+