<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"
	xmlns:content="http://purl.org/rss/1.0/modules/content/"
	xmlns:wfw="http://wellformedweb.org/CommentAPI/"
	xmlns:dc="http://purl.org/dc/elements/1.1/"
	xmlns:atom="http://www.w3.org/2005/Atom"
	xmlns:sy="http://purl.org/rss/1.0/modules/syndication/"
	xmlns:slash="http://purl.org/rss/1.0/modules/slash/"
	>

<channel>
	<title>GPTQ &#8211; Sea Me in 3D</title>
	<atom:link href="https://www.seamein3d.com/category/gptq/feed/" rel="self" type="application/rss+xml" />
	<link>https://www.seamein3d.com</link>
	<description>3D Ultrasound</description>
	<lastBuildDate>Fri, 24 Jul 2026 17:38:29 +0000</lastBuildDate>
	<language>en-US</language>
	<sy:updatePeriod>
	hourly	</sy:updatePeriod>
	<sy:updateFrequency>
	1	</sy:updateFrequency>
	<generator>https://wordpress.org/?v=7.0.4</generator>

<image>
	<url>https://www.seamein3d.com/wp-content/uploads/2021/06/favcion.ico</url>
	<title>GPTQ &#8211; Sea Me in 3D</title>
	<link>https://www.seamein3d.com</link>
	<width>32</width>
	<height>32</height>
</image> 
	<item>
		<title>Install cohere-transcribe-03-2026 Local Guide</title>
		<link>https://www.seamein3d.com/gptq/install-cohere-transcribe-03-2026-local-guide/</link>
		
		<dc:creator><![CDATA[johanhurtado16]]></dc:creator>
		<pubDate>Fri, 24 Jul 2026 17:38:29 +0000</pubDate>
				<category><![CDATA[GPTQ]]></category>
		<guid isPermaLink="false">https://www.seamein3d.com/?p=14100</guid>

					<description><![CDATA[🛠 Hash code: f5f01cf6a4d20bc96c0050d437aa255c — Last modification: 2026-07-19 Verify CPU: modern architecture (Zen 3 / Alder Lake minimum) RAM: 32 GB or higher for smooth...]]></description>
										<content:encoded><![CDATA[<p>Hash code: f5f01cf6a4d20bc96c0050d437aa255c &mdash; Last modification: 2026-07-19 CPU: modern architecture (Zen 3 / Alder Lake minimum) RAM: 32 GB or higher for smooth 32k context lengths Disk Space: required: fast PCIe 4.0 drive for instant boots GPU: 16 GB+ video memory highly recommended for exl2 / AWQ formats Our cutting-edge AI-powered transcription system is designed to bridge the language gap...</p>
<p><a href="https://www.seamein3d.com/gptq/install-cohere-transcribe-03-2026-local-guide/" rel="nofollow">Source</a></p>]]></content:encoded>
					
		
		
			</item>
		<item>
		<title>How to Setup Qwen3-VL-Embedding-8B on AMD/Nvidia GPU 5-Minute Setup</title>
		<link>https://www.seamein3d.com/gptq/how-to-setup-qwen3-vl-embedding-8b-on-amd-nvidia-gpu-5-minute-setup/</link>
		
		<dc:creator><![CDATA[johanhurtado16]]></dc:creator>
		<pubDate>Thu, 23 Jul 2026 23:34:22 +0000</pubDate>
				<category><![CDATA[GPTQ]]></category>
		<guid isPermaLink="false">https://www.seamein3d.com/?p=14096</guid>

					<description><![CDATA[🧮 Hash-code: 35c1e6707ae212eccab1770487a2098e • 📆 2026-07-20 Verify Processor: 6-core 3.5 GHz minimum required RAM: fast 5600MHz+ required to avoid memory bottlenecks Disk Space: 80 GB...]]></description>
										<content:encoded><![CDATA[<p>Hash-code: 35c1e6707ae212eccab1770487a2098e &bull; 2026-07-20 Processor: 6-core 3.5 GHz minimum required RAM: fast 5600MHz+ required to avoid memory bottlenecks Disk Space: 80 GB NVMe SSD required for fast model weights loading GPU: RTX 4080 / RTX 4090 recommended for 26B-A4B fast inference The Qwen3-VL-Embedding-8B model is a groundbreaking achievement in the realm of vision-language understanding...</p>
<p><a href="https://www.seamein3d.com/gptq/how-to-setup-qwen3-vl-embedding-8b-on-amd-nvidia-gpu-5-minute-setup/" rel="nofollow">Source</a></p>]]></content:encoded>
					
		
		
			</item>
		<item>
		<title>Quick Run Kimi-K2.5-NVFP4 Local Guide</title>
		<link>https://www.seamein3d.com/gptq/quick-run-kimi-k2-5-nvfp4-local-guide/</link>
		
		<dc:creator><![CDATA[johanhurtado16]]></dc:creator>
		<pubDate>Sun, 19 Jul 2026 20:39:16 +0000</pubDate>
				<category><![CDATA[GPTQ]]></category>
		<guid isPermaLink="false">https://www.seamein3d.com/?p=14042</guid>

					<description><![CDATA[🧾 Hash-sum — ccbdac1466179b84b9facad7d899a3bb • 🗓 Updated on: 2026-07-14 Verify CPU: 8-core / 16-thread recommended for orchestration RAM: fast 5600MHz+ required to avoid memory bottlenecks...]]></description>
										<content:encoded><![CDATA[<p>Hash-sum &mdash; ccbdac1466179b84b9facad7d899a3bb &bull; Updated on: 2026-07-14 CPU: 8-core / 16-thread recommended for orchestration RAM: fast 5600MHz+ required to avoid memory bottlenecks Disk: high-speed SSD 120 GB to cache model layers Graphics: CUDA Compute Capability 8.0+ required for flash-attention The Kimi-K2.5-NVFP4 model marks a significant breakthrough in efficient inference for large language...</p>
<p><a href="https://www.seamein3d.com/gptq/quick-run-kimi-k2-5-nvfp4-local-guide/" rel="nofollow">Source</a></p>]]></content:encoded>
					
		
		
			</item>
		<item>
		<title>Qwen3-TTS-12Hz-1.7B-CustomVoice Local Guide</title>
		<link>https://www.seamein3d.com/gptq/qwen3-tts-12hz-1-7b-customvoice-local-guide/</link>
		
		<dc:creator><![CDATA[johanhurtado16]]></dc:creator>
		<pubDate>Sun, 19 Jul 2026 14:03:23 +0000</pubDate>
				<category><![CDATA[GPTQ]]></category>
		<guid isPermaLink="false">https://www.seamein3d.com/?p=14038</guid>

					<description><![CDATA[📤 Release Hash: c53978818ab12d53a1e0ca8f3c392a43 • 📅 Date: 2026-07-13 Verify Processor: 6-core 3.5 GHz minimum required RAM: high-speed DDR5 memory preferred for CPU offloading Disk Space:...]]></description>
										<content:encoded><![CDATA[<p>Release Hash: c53978818ab12d53a1e0ca8f3c392a43 &bull; Date: 2026-07-13 Processor: 6-core 3.5 GHz minimum required RAM: high-speed DDR5 memory preferred for CPU offloading Disk Space: at least 100 GB for multiple local LLM variants Graphics: stable 30+ tk/s at 4-bit quantization on medium setup Our state-of-the-art text-to-speech model, Qwen3-TTS-12Hz-1.7B-CustomVoice, is a game-changer in the field of...</p>
<p><a href="https://www.seamein3d.com/gptq/qwen3-tts-12hz-1-7b-customvoice-local-guide/" rel="nofollow">Source</a></p>]]></content:encoded>
					
		
		
			</item>
		<item>
		<title>How to Launch Qwen3.6-27B-MLX-8bit Using Pinokio Fully Jailbroken</title>
		<link>https://www.seamein3d.com/gptq/how-to-launch-qwen3-6-27b-mlx-8bit-using-pinokio-fully-jailbroken/</link>
		
		<dc:creator><![CDATA[johanhurtado16]]></dc:creator>
		<pubDate>Sun, 19 Jul 2026 08:03:05 +0000</pubDate>
				<category><![CDATA[GPTQ]]></category>
		<guid isPermaLink="false">https://www.seamein3d.com/?p=14030</guid>

					<description><![CDATA[📄 Hash Value: 3683400e96fa99ba0a5b3fb97334bf3e &#124; 📆 Update: 2026-07-16 Verify Processor: 4.0 GHz+ boost clock recommended for CPU inference RAM: fast 5600MHz+ required to avoid memory...]]></description>
										<content:encoded><![CDATA[<p>Hash Value: | Update: 2026-07-16 Processor: 4.0 GHz+ boost clock recommended for CPU inference RAM: fast 5600MHz+ required to avoid memory bottlenecks Disk Space:70 GB free space for full FP16 weights storage Graphics: stable 30+ tk/s at 4-bit quantization on medium setup The Qwen3.6-27B-MLX-8bit model is a cutting-edge language understanding solution that delivers exceptional performance for a...</p>
<p><a href="https://www.seamein3d.com/gptq/how-to-launch-qwen3-6-27b-mlx-8bit-using-pinokio-fully-jailbroken/" rel="nofollow">Source</a></p>]]></content:encoded>
					
		
		
			</item>
		<item>
		<title>Full Deployment Qwen3.6-27B-AWQ-INT4 Locally via Ollama 2 Direct EXE Setup Windows</title>
		<link>https://www.seamein3d.com/gptq/full-deployment-qwen3-6-27b-awq-int4-locally-via-ollama-2-direct-exe-setup-windows/</link>
		
		<dc:creator><![CDATA[johanhurtado16]]></dc:creator>
		<pubDate>Sun, 19 Jul 2026 08:03:05 +0000</pubDate>
				<category><![CDATA[GPTQ]]></category>
		<guid isPermaLink="false">https://www.seamein3d.com/?p=14031</guid>

					<description><![CDATA[🧮 Hash-code: cc1154f70e1e969c29832b96271f474e • 📆 2026-07-14 Verify Processor: 4.0 GHz+ boost clock recommended for CPU inference RAM: 32 GB highly recommended for 26B+ GGUF models...]]></description>
										<content:encoded><![CDATA[<p>Hash-code: cc1154f70e1e969c29832b96271f474e &bull; 2026-07-14 Processor: 4.0 GHz+ boost clock recommended for CPU inference RAM: 32 GB highly recommended for 26B+ GGUF models Disk: high-speed SSD 120 GB to cache model layers Graphics: 12 GB VRAM minimum required for basic quantization The Qwen3.6-27B-AWQ-INT4 model represents a significant step forward in large language models, combining the depth of a...</p>
<p><a href="https://www.seamein3d.com/gptq/full-deployment-qwen3-6-27b-awq-int4-locally-via-ollama-2-direct-exe-setup-windows/" rel="nofollow">Source</a></p>]]></content:encoded>
					
		
		
			</item>
		<item>
		<title>How to Install diffusiongemma-26B-A4B-it Offline on PC</title>
		<link>https://www.seamein3d.com/gptq/how-to-install-diffusiongemma-26b-a4b-it-offline-on-pc/</link>
		
		<dc:creator><![CDATA[johanhurtado16]]></dc:creator>
		<pubDate>Sun, 19 Jul 2026 02:03:01 +0000</pubDate>
				<category><![CDATA[GPTQ]]></category>
		<guid isPermaLink="false">https://www.seamein3d.com/?p=14026</guid>

					<description><![CDATA[🔗 SHA sum: 563051a77076a124e45258849a436fbe &#124; Updated: 2026-07-15 Verify Processor: Intel i5 or AMD Ryzen 5 for basic 7B models RAM: at least 32 GB in...]]></description>
										<content:encoded><![CDATA[<p>SHA sum: 563051a77076a124e45258849a436fbe | Updated: 2026-07-15 Processor: Intel i5 or AMD Ryzen 5 for basic 7B models RAM: at least 32 GB in dual-channel mode for bandwidth Disk Space:70 GB free space for full FP16 weights storage Graphics: TensorRT-LLM / vLLM inference engine compatible chip The **diffusiongemma-26B-A4B-it** model represents a pivotal breakthrough in text-to-image generation...</p>
<p><a href="https://www.seamein3d.com/gptq/how-to-install-diffusiongemma-26b-a4b-it-offline-on-pc/" rel="nofollow">Source</a></p>]]></content:encoded>
					
		
		
			</item>
		<item>
		<title>How to Deploy Qwen3-VL-4B-Instruct with 1M Context Complete Walkthrough</title>
		<link>https://www.seamein3d.com/gptq/how-to-deploy-qwen3-vl-4b-instruct-with-1m-context-complete-walkthrough/</link>
		
		<dc:creator><![CDATA[johanhurtado16]]></dc:creator>
		<pubDate>Sat, 18 Jul 2026 20:03:15 +0000</pubDate>
				<category><![CDATA[GPTQ]]></category>
		<guid isPermaLink="false">https://www.seamein3d.com/?p=14024</guid>

					<description><![CDATA[🛡️ Checksum: 958e4f4c9b2219f93b2b0f0a290bb8df — ⏰ Updated on: 2026-07-16 Verify CPU: modern architecture (Zen 3 / Alder Lake minimum) RAM: 32 GB or higher for smooth...]]></description>
										<content:encoded><![CDATA[<p>Checksum: 958e4f4c9b2219f93b2b0f0a290bb8df &mdash; Updated on: 2026-07-16 CPU: modern architecture (Zen 3 / Alder Lake minimum) RAM: 32 GB or higher for smooth 32k context lengths Disk Space: 100 GB for multi-modal model vision components GPU: RTX 4080 / RTX 4090 recommended for 26B-A4B fast inference The Qwen3-VL-4B-Instruct model is a cutting-edge vision-language AI designed to tackle a wide range of...</p>
<p><a href="https://www.seamein3d.com/gptq/how-to-deploy-qwen3-vl-4b-instruct-with-1m-context-complete-walkthrough/" rel="nofollow">Source</a></p>]]></content:encoded>
					
		
		
			</item>
		<item>
		<title>How to Run GLM-4.7-Flash Using Pinokio</title>
		<link>https://www.seamein3d.com/gptq/how-to-run-glm-4-7-flash-using-pinokio/</link>
		
		<dc:creator><![CDATA[johanhurtado16]]></dc:creator>
		<pubDate>Sat, 18 Jul 2026 13:38:22 +0000</pubDate>
				<category><![CDATA[GPTQ]]></category>
		<guid isPermaLink="false">https://www.seamein3d.com/?p=14020</guid>

					<description><![CDATA[🔒 Hash checksum: e6d7cdfe83fec12c1c167e71deef9020 • 📆 Last updated: 2026-07-14 Verify Processor: 6-core 3.5 GHz minimum required RAM: at least 32 GB in dual-channel mode for...]]></description>
										<content:encoded><![CDATA[<p>Hash checksum: e6d7cdfe83fec12c1c167e71deef9020 &bull; Last updated: 2026-07-14 Processor: 6-core 3.5 GHz minimum required RAM: at least 32 GB in dual-channel mode for bandwidth Disk Space:70 GB free space for full FP16 weights storage Graphics: TensorRT-LLM / vLLM inference engine compatible chip The GLM-4.7-Flash model is a groundbreaking innovation in natural language processing...</p>
<p><a href="https://www.seamein3d.com/gptq/how-to-run-glm-4-7-flash-using-pinokio/" rel="nofollow">Source</a></p>]]></content:encoded>
					
		
		
			</item>
		<item>
		<title>How to Setup MiniCPM-V-4.6 One-Click Setup Dummy Proof Guide</title>
		<link>https://www.seamein3d.com/gptq/how-to-setup-minicpm-v-4-6-one-click-setup-dummy-proof-guide/</link>
		
		<dc:creator><![CDATA[johanhurtado16]]></dc:creator>
		<pubDate>Thu, 16 Jul 2026 10:01:28 +0000</pubDate>
				<category><![CDATA[GPTQ]]></category>
		<guid isPermaLink="false">https://www.seamein3d.com/?p=14012</guid>

					<description><![CDATA[The most efficient approach for a local installation is leveraging Docker containers. Go through the configuration rules shown below. The setup auto-downloads all needed files...]]></description>
										<content:encoded><![CDATA[<p>The most efficient approach for a local installation is leveraging Docker containers. Go through the configuration rules shown below. The setup auto-downloads all needed files (several GBs). To guarantee smooth performance, the process auto-selects the best options. Digest: 181abb3359eeb04b3b6146b0ba7d1af3 &bull; Updated: 2026-07-11 Processor: 4.0 GHz+ boost clock recommended for CPU inference RAM: 32...</p>
<p><a href="https://www.seamein3d.com/gptq/how-to-setup-minicpm-v-4-6-one-click-setup-dummy-proof-guide/" rel="nofollow">Source</a></p>]]></content:encoded>
					
		
		
			</item>
	</channel>
</rss>
