Tag: #quantization

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• Edge AI Complete Guide 2025: On-Device Inference, Model Optimization, TensorRT/ONNX/CoreML ♪ Listenable

  Everything about Edge AI! On-device inference (TensorRT/ONNX Runtime/CoreML/TFLite), model optimization (quantization/pruning/knowledge distillation), hardware (NVIDIA Jetson/Apple Neural Engine/Qualcomm NPU), Federated

  2026-04-13 · 21 min read #edge-ai#on-device#inference#tensorrt#onnx

• Complete Guide to LLM Fine-tuning with Unsloth 2025: QLoRA, 4-bit Quantization, 2x Faster Training ♪ Listenable

  Everything about LLM fine-tuning with Unsloth! QLoRA/LoRA theory, 4-bit quantization (bitsandbytes), Unsloth 2x speed secret, Llama 3/Mistral/Qwen fine-tuning, data preparation, training config, VRAM optimization, GGUF/G

  2026-03-25 · 17 min read #unsloth#llm#fine-tuning#qlora#lora

• Complete LLM Serving Optimization Guide: KV Cache, PagedAttention, and Quantization ♪ Listenable

  A complete engineering deep dive into LLM serving optimization. From the KV cache memory crisis to the virtual-memory revolution of PagedAttention, continuous batching, speculative decoding, quantization techniques, and

  2026-03-18 · 30 min read #model-serving#kv-cache#paged-attention#vllm#quantization

• NPU Deep Dive: How Transformer Architecture Runs Directly on Silicon ♪ Listenable

  A complete technical breakdown of how NPUs differ from CPUs and GPUs, how every transformer operation maps to hardware, and why LLM inference is memory-bound — not compute-bound. From Apple ANE to Qualcomm Hexagon, Groq

  2026-03-18 · 22 min read #npu#transformer#ai-hardware#quantization#kv-cache

• Deep Learning Model Quantization Complete Guide: Master INT8, INT4, GPTQ, AWQ, GGUF ♪ Listenable

  A comprehensive guide to mastering deep learning model quantization. Understand the principles from FP32 to INT8 and INT4 quantization, and master GPTQ, AWQ, GGUF, bitsandbytes, AutoGPTQ, and llama.cpp through practical

  2026-03-17 · 23 min read #quantization#model-compression#gptq#awq#gguf

• On-Device AI 2026: Your Smartphone Becomes a Personal AI Server

  On-device AI is the centerpiece of mobile innovation in 2026. With Apple Neural Engines, Snapdragon AI, and Google Tensor optimizations, smartphones now achieve both privacy protection and ultra-low latency while dramati

  2026-03-16 · 9 min read #on-device-ai#edge-inference#apple-intelligence#privacy#mobile-ai

• LLM Quantization Practical Guide: GPTQ, AWQ, GGUF Format Comparison and Precision-Performance Trade-offs ♪ Listenable

  A practical guide to LLM quantization covering GPTQ, AWQ, and GGUF format comparison with precision-performance trade-off analysis.

  2026-03-14 · 21 min read #llm#quantization#gptq#awq#gguf

• LLM Quantization Comparison Guide — GPTQ, AWQ, GGUF, bitsandbytes Practical Application ♪ Listenable

  A comparative guide to LLM quantization techniques including GPTQ, AWQ, GGUF, and bitsandbytes with practical application tips.

  2026-03-09 · 24 min read #llm#quantization#gptq#awq#gguf

• Complete LLM Quantization Comparison: GPTQ, AWQ, GGUF Practical Application Guide ♪ Listenable

  From the core principles of LLM quantization to comparative analysis of GPTQ, AWQ, GGUF, and BitsAndBytes techniques, covering practical application in vLLM and llama.cpp environments and quality-performance trade-offs.

  2026-03-06 · 14 min read #llm#quantization#gptq#awq#gguf

• BitNet Paper Analysis: The Era of 1-Bit LLMs — From Ternary Weights to CPU Inference ♪ Listenable

  A comprehensive guide analyzing Microsoft Research's BitNet series (v1, b1.58, a4.8, 2B4T), covering ternary weight training principles, the bitnet.cpp inference framework, and real-world benchmarks.

  2026-03-06 · 23 min read #ai-papers#bitnet#1-bit-llm#quantization#model-efficiency

• Complete LLM Quantization Comparison — GPTQ vs AWQ vs GGUF ♪ Listenable

  A comprehensive guide to LLM Quantization — from quantization fundamentals to comparing GPTQ, AWQ, and GGUF methods, vLLM/llama.cpp integration, and practical benchmarks.

  2026-03-03 · 6 min read #llm#quantization#gptq#awq#gguf

• The Complete Guide to vLLM & Ollama: LLM Serving Engine Setup, Parameters, and Environment Variables ♪ Listenable

  A comprehensive deep dive comparing vLLM PagedAttention architecture and Ollama local LLM runtime environments. Covers everything from installation, server startup, API calls, key CLI arguments, sampling parameters, envi

  2026-03-01 · 46 min read #vllm#ollama#model-serving#inference#gpu