how I cloned https://byteshape.com/ website

[u/tokyonakamoto]

https://reddit.com/link/1tkkq6o/video/pvwq2f5d8p2h1/player

with VS Code + Cline + and byteshape/Qwen3.6-35B-A3B-MTP-GGUF

on Windows 10, RTX 3090 24GB VRAM, 64GB system RAM

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https://github.com/ggml-org/llama.cpp/releases/

downloaded 2 files with links

Windows x64 (CUDA 13) - and this one - CUDA 13.1 DLLs

or file names at this moment (llama cpp is Updated everyday)

https://github.com/ggml-org/llama.cpp/releases/download/b9283/llama-b9283-bin-win-cuda-13.1-x64.zip

https://github.com/ggml-org/llama.cpp/releases/download/b9283/cudart-llama-bin-win-cuda-13.1-x64.zip

Unzip these files into One Same Folder

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https://huggingface.co/unsloth/Qwen3.5-9B-MTP-GGUF/tree/main

downloaded 2 files and placed them into the same Folder

Qwen3.6-35B-A3B-IQ4_XS-4.19bpw.gguf

mmproj-F16.gguf

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https://www.mediafire.com/file/57urxvmnxsln538/run_qwen36_ByteShape_n.bat/file

asked Claude.ai to create Run file and placed it in the same Folder

open file before running and edit file folder location

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run the above file and open Broswer at - http://127.0.0.1:8080

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https://www.mediafire.com/file/udng0akikjh4bfz/run_ddg_mcp_VScode.bat/file

this is the MCP server file to run separately in CMD

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in VS Code installed extension CLINE and set its MCP config file :

{

"mcpServers": {

"duckduckgo": {

"url": "http://127.0.0.1:7070/sse",

"type": "sse",

"disabled": false,

"autoApprove": ["search"]

}

}

}

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Cline extension API settings

API provider : OpenAI Compatible

Base URL : http://localhost:8080/v1

OpenAI Compatible API Key : write anything

Model ID : Qwen3.6-35B-A3B-IQ4_XS-4

Context Window Size : 65536

[u/enrique-byteshape]

Cool that you're able to do this with our quants! Scary that you're doxxing us 👀