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23 jul How to Run LTX-2.3-fp8 Locally via Ollama 2

Posted at 13:34h in Weights

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🛠 Hash code: d14af66188c8e09db34b591417b1b21e — Last modification: 2026-07-22VerifyCPU: 8-core / 16-thread recommended for orchestration RAM: high-speed DDR5 memory preferred for CPU offloading Storage: extra room for future model updates and datasets Graphic Processor: hardware Tensor Cores support needed for FP16 acceleration ...

23 jul How to Deploy Kimi-K2-Instruct-0905 Direct EXE Setup

Posted at 07:34h in Weights

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🛠 Hash code: 894e69991deb70329f49f1c2d29b482b — Last modification: 2026-07-17VerifyProcessor: Intel i5 or AMD Ryzen 5 for basic 7B models RAM: 32 GB highly recommended for 26B+ GGUF models Disk Space: at least 100 GB for multiple local LLM variants Graphics: stable 30+ tk/s...

23 jul Launch Qwen3.6-35B-A3B-MTP-GGUF on Your PC with 1M Context

Posted at 04:34h in Weights

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📡 Hash Check: eaa25c8ea0980b3384e95df72dec2f01 | 📅 Last Update: 2026-07-17VerifyProcessor: Intel i7 / Ryzen 7 for heavy Quantized models RAM: minimum 16 GB for stable 8B model loading Disk: 150+ GB for high-context vector database storage Graphics: 12 GB VRAM minimum required for...

23 jul Setup Kimi-K2.6-NVFP4 via WebGPU (Browser)

Posted at 01:34h in Weights

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📎 HASH: d85742690120ed02a232462d2a4bba66 | Updated: 2026-07-22VerifyCPU: AVX2/AVX-512 instruction set required for llama.cpp RAM: minimum 16 GB for stable 8B model loading Disk Space:70 GB free space for full FP16 weights storage GPU: RTX 4080 / RTX 4090 recommended for 26B-A4B fast inference...

22 jul Deploy Gemma-3-1B-it-GLM-4.7-Flash-Heretic-Uncensored-Thinking_GGUF with 1M Context For Beginners

Posted at 13:32h in Weights

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🗂 Hash: b9ca55dc03b59f3b76d5a82fa6570019 • Last Updated: 2026-07-15VerifyCPU: AVX2/AVX-512 instruction set required for llama.cpp RAM: fast 5600MHz+ required to avoid memory bottlenecks Disk Space: at least 100 GB for multiple local LLM variants GPU: RTX 4080 / RTX 4090 recommended for 26B-A4B fast...

22 jul Deploy Gemma-3-1B-it-GLM-4.7-Flash-Heretic-Uncensored-Thinking_GGUF with 1M Context For Beginners

Posted at 13:32h in Weights

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Weights

23 jul How to Run LTX-2.3-fp8 Locally via Ollama 2

23 jul How to Deploy Kimi-K2-Instruct-0905 Direct EXE Setup

23 jul Launch Qwen3.6-35B-A3B-MTP-GGUF on Your PC with 1M Context

23 jul Setup Kimi-K2.6-NVFP4 via WebGPU (Browser)

22 jul Deploy Gemma-3-1B-it-GLM-4.7-Flash-Heretic-Uncensored-Thinking_GGUF with 1M Context For Beginners

22 jul Deploy Gemma-3-1B-it-GLM-4.7-Flash-Heretic-Uncensored-Thinking_GGUF with 1M Context For Beginners

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