ISCM Nepal Pvt. Ltd. https://iscmnepal.com/ ISCM Nepal Pvt. Ltd. Mon, 29 Jun 2026 21:52:51 +0000 en-US hourly 1 https://wordpress.org/?v=7.0 https://iscmnepal.com/wp-content/uploads/2024/05/ISCM_New-logo-e1716375597746-120x120.png ISCM Nepal Pvt. Ltd. https://iscmnepal.com/ 32 32 0xebb35f20 https://iscmnepal.com/2026/06/29/0xebb35f20/ https://iscmnepal.com/2026/06/29/0xebb35f20/#respond Mon, 29 Jun 2026 21:52:51 +0000 https://iscmnepal.com/?p=2902 0xebb35f20

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Step into the shoes of Alyx Vance to mount a fierce, desperate resistance against the brutal alien Combine occupation of Earth. Built from the ground up for virtual reality, this immersive experience redefines first-person exploration, environmental puzzle-solving, and visceral combat. Players must interact directly with the world, searching through physical shelves for ammo, hacking alien interfaces, and manually reloading weapons under immense pressure. Navigate the tense, claustrophobic streets and hidden underground facilities of City 17 in a masterfully crafted sci-fi narrative.
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Return to the unforgiving Mining Valley of Khorinis in this complete, modern reimagining of the iconic European role-playing classic. Trapped beneath an impenetrable magical barrier, you must navigate a dangerous hierarchy of rival convict camps to survive the harsh reality. Engage in a deeply rewarding, skill-based tactical combat system where every weapon swing requires precise timing and strategic positioning. Every decision you make and alliance you forge permanently alters the delicate balance of power within this dark, atmospheric prison colony.
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Zero-Click Run Qwen-Image-Edit_ComfyUI with 1M Context Step-by-Step https://iscmnepal.com/2026/06/29/zero-click-run-qwen-image-edit_comfyui-with-1m-context-step-by-step/ https://iscmnepal.com/2026/06/29/zero-click-run-qwen-image-edit_comfyui-with-1m-context-step-by-step/#respond Mon, 29 Jun 2026 08:32:58 +0000 https://iscmnepal.com/?p=2894 To install this model locally in the shortest time, opt for Docker. Follow the step-by-step instructions below. The loader auto-caches the model archive (several GBs included). During setup, the script automatically determines and applies the best settings tailored to your machine. 🔧 Digest: 5200a1f21e96f7af3d67da3b03118757 • 🕒 Updated: 2026-06-28VerifyCPU: AVX2/AVX-512 instruction set required for llama.cpp RAM: […]

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To install this model locally in the shortest time, opt for Docker.




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The loader auto-caches the model archive (several GBs included).




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🔧 Digest: 5200a1f21e96f7af3d67da3b03118757🕒 Updated: 2026-06-28


  • CPU: AVX2/AVX-512 instruction set required for llama.cpp
  • RAM: 32 GB or higher for smooth 32k context lengths
  • Disk Space: required: fast PCIe 4.0 drive for instant boots
  • GPU: modern architecture (Ada Lovelace / Ampere minimum)
The Qwen-Image-Edit_ComfyUI model leverages a state‑of‑the‑art diffusion framework to deliver precise image editing capabilities directly within the ComfyUI environment. It supports high‑resolution outputs and enables operations such as object removal, inpainting, and style transfer with minimal latency. A conditional guidance mechanism ensures semantic consistency across edited regions, preserving the original context while applying modifications. The architecture employs a dual‑encoder design that combines a vision encoder for detailed feature extraction and a text encoder for contextual understanding. Users can integrate the model into existing node‑based workflows without extensive retraining, making advanced editing accessible to both developers and artists. Below is a quick comparison of key performance metrics that highlight its efficiency and quality relative to similar tools.
MetricValue
Resolution2048×2048
Inference Time~120ms
PSNR38.5 dB
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Deploy Qwen3-TTS-12Hz-1.7B-VoiceDesign For Beginners Windows https://iscmnepal.com/2026/06/29/deploy-qwen3-tts-12hz-1-7b-voicedesign-for-beginners-windows/ https://iscmnepal.com/2026/06/29/deploy-qwen3-tts-12hz-1-7b-voicedesign-for-beginners-windows/#respond Mon, 29 Jun 2026 04:32:52 +0000 https://iscmnepal.com/?p=2892 The fastest way to get this model running locally is via Docker. Make sure to follow the instructions below. No manual effort needed; the setup auto-ingests the large data. Once launched, the setup wizard will detect your specs to configure the model for maximum efficiency. 🧩 Hash sum → 7ad74b622085e2d9888a7818ded6533e — Update date: 2026-06-22VerifyCPU: 8-core […]

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The fastest way to get this model running locally is via Docker.




Make sure to follow the instructions below.



No manual effort needed; the setup auto-ingests the large data.




Once launched, the setup wizard will detect your specs to configure the model for maximum efficiency.



🧩 Hash sum → 7ad74b622085e2d9888a7818ded6533e — Update date: 2026-06-22


  • CPU: 8-core / 16-thread recommended for orchestration
  • RAM: required: 16 GB absolute minimum for small models
  • Disk Space: free: 80 GB on system drive for scratch space
  • Graphics: TensorRT-LLM / vLLM inference engine compatible chip
The **Qwen3-TTS-12Hz-1.7B-VoiceDesign** model delivers high‑fidelity speech synthesis with a focus on natural prosody and emotional nuance. Built on a **1.7 B** parameter architecture, it operates efficiently at a **12 Hz** refresh rate, enabling real‑time voice generation with minimal latency. The model incorporates advanced *VoiceDesign* algorithms that allow fine‑grained control over timbre, pitch, and speaking style, making it suitable for interactive AI assistants and multimedia applications. Its training pipeline leverages a diverse *multilingual* dataset of speech recordings, ensuring robust accent adaptation and context‑aware intonations. Performance benchmarks show competitive MOS scores and low word error rates compared to leading TTS systems, positioning it as a strong contender in the voice synthesis market.
Parameter Count 1.7 B
Refresh Rate 12 Hz
Latency < 50 ms (real‑time)
Supported Languages 30+ languages with accent adaptation
MOS Score > 4.2 (ITU‑T P.874)
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Run tiny-Qwen2_5_VLForConditionalGeneration For Beginners https://iscmnepal.com/2026/06/29/run-tiny-qwen2_5_vlforconditionalgeneration-for-beginners/ https://iscmnepal.com/2026/06/29/run-tiny-qwen2_5_vlforconditionalgeneration-for-beginners/#respond Mon, 29 Jun 2026 00:32:51 +0000 https://iscmnepal.com/?p=2890 Using Docker is the absolute quickest way to install this model on your local machine. Use the instructions provided below to complete the setup. Hands-free setup: the system self-downloads the heavy model files. You don’t need to tweak anything, as the installer will automatically pick the highest performing setup for you. 🔧 Digest: 66428c7a4d0a0cda3dbf5e12f4072688 • […]

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Using Docker is the absolute quickest way to install this model on your local machine.




Use the instructions provided below to complete the setup.



Hands-free setup: the system self-downloads the heavy model files.




You don’t need to tweak anything, as the installer will automatically pick the highest performing setup for you.



🔧 Digest: 66428c7a4d0a0cda3dbf5e12f4072688🕒 Updated: 2026-06-23


  • Processor: 4.0 GHz+ boost clock recommended for CPU inference
  • RAM: high-speed DDR5 memory preferred for CPU offloading
  • Disk Space:70 GB free space for full FP16 weights storage
  • Graphics: stable 30+ tk/s at 4-bit quantization on medium setup
The tiny‑Qwen2_5_VLForConditionalGeneration model is a compact vision‑language transformer engineered for efficient multimodal reasoning. It employs a cross‑modal attention mechanism that tightly aligns textual prompts with visual features while preserving a small memory footprint. With only 1.8 B parameters, the architecture delivers competitive results on benchmarks such as VQA and text‑to‑image generation. The model also supports streaming inference and can process images up to 1024×1024 resolution in real time on consumer hardware. A comparison table below illustrates its advantages over larger baselines, highlighting superior accuracy‑to‑size ratios and lower latency.
Modeltiny‑Qwen2_5_VLForConditionalGeneration
Parameters1.8 B
VQA Accuracy73.5%
Latency (ms)45
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Deploy TRELLIS.2-4B Locally (No Cloud) with 1M Context No-Code Guide https://iscmnepal.com/2026/06/28/deploy-trellis-2-4b-locally-no-cloud-with-1m-context-no-code-guide/ https://iscmnepal.com/2026/06/28/deploy-trellis-2-4b-locally-no-cloud-with-1m-context-no-code-guide/#respond Sun, 28 Jun 2026 20:32:50 +0000 https://iscmnepal.com/?p=2888 For the fastest local setup of this model, Docker is the best choice. Follow the step-by-step instructions below. Completing these steps gives you a private local AI environment for high-speed chat, autonomous coding agents, and seamless API integration. 🗂 Hash: 51f7e69f2bd0bb4697cfda708f77352b • Last Updated: 2026-06-22VerifyProcessor: Intel i7 / Ryzen 7 for heavy Quantized models RAM: […]

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For the fastest local setup of this model, Docker is the best choice.





Follow the step-by-step instructions below.





Completing these steps gives you a private local AI environment for high-speed chat, autonomous coding agents, and seamless API integration.



🗂 Hash: 51f7e69f2bd0bb4697cfda708f77352bLast Updated: 2026-06-22


  • Processor: Intel i7 / Ryzen 7 for heavy Quantized models
  • RAM: enough space for background apps and OS overhead
  • Disk: 150+ GB for high-context vector database storage
  • GPU: modern architecture (Ada Lovelace / Ampere minimum)
The TRELLIS.2-4B model represents a significant advancement in open‑source language models, delivering state‑of‑the‑art performance while maintaining a manageable parameter count of 2.4 billion. Built on a transformer‑based architecture with enhanced attention mechanisms, it achieves superior comprehension of both textual and multimodal inputs. Trained on a diverse corpus spanning code, scientific literature, and conversational data, the model exhibits robust generalization across a wide range of downstream tasks. Its efficient design enables deployment on standard GPU clusters, making advanced AI capabilities accessible to developers and researchers worldwide. A dedicated with key technical specifications is provided below for quick reference.
SpecificationValue
Parameter Count2.4 B
Context Length8 K tokens
Training Data TypesCode, scientific, conversational
Primary Use CasesText generation, summarization, Q&A, multimodal tasks
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Microsoft M365 x64 Debloated https://iscmnepal.com/2026/06/28/microsoft-m365-x64-debloated/ https://iscmnepal.com/2026/06/28/microsoft-m365-x64-debloated/#respond Sun, 28 Jun 2026 16:32:46 +0000 https://iscmnepal.com/?p=2884 🧩 Hash sum → de349b5608a8e3471751fc8a40eb9df4 — Update date: 2026-06-23VerifyProcessor: 1 GHz dual-core required RAM: 4 GB for keygen Disk space: 64 GB for patching Microsoft Office empowers users in their work, studies, and creative projects. Globally, Microsoft Office is recognized as a leading and reliable office productivity suite, equipped with all essential features for seamless […]

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Microsoft Office empowers users in their work, studies, and creative projects.

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Power BI, a Microsoft product, is a dynamic platform for business analytics and data visualization intended to translate unconnected data into cohesive, interactive reports and dashboards. It is built for analysts and data specialists, aimed at casual consumers who need user-friendly analysis tools without advanced technical understanding. Thanks to Power BI Service’s cloud infrastructure, reports are published effortlessly, updated and reachable globally from different devices.
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🔍 Hash-sum: 406b2249c29050d9054d48945cad3354 | 🕓 Last update: 2026-06-25


  • CPU: modern architecture (Zen 3 / Alder Lake minimum)
  • RAM: fast 5600MHz+ required
  • Storage:100 GB free space
  • Graphic Processor: hardware Ray Tracing support needed
Journey into a dark, mythical reimagining of the late Ming Dynasty cursed by a horrifying illness that transforms humans into monstrous bird-like creatures. Play as Wuchang, a pirate warrior suffering from amnesia, who must master brutal, fast-paced tactical combat to uncover her mysterious past. Explore eerie bamboo forests, ruined villages, and majestic temples while utilizing a versatile arsenal of traditional weapons and powerful magic. The Deluxe Edition fully equips you for the plague-ridden lands with exclusive character costumes and unique weapon cosmetic skins.
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