Best Local LLM for Coding: 8GB to 24GB VRAM Picks

OpenArch 用 PyTorch 从零手写实现现代开源 LLM 架构，每个架构一个可读文件，覆盖 GPT-2 XL、Llama 2/3、DeepSeek R1、Gemma 3、Llama 4 Maverick、Qwen 3、Kimi K2、GLM 4.5、GPT-OSS 等，并标注参数量、归一化、位置编码、注意力与 MoE 选择。

llama.cpp vs Ollama: Ollama wraps llama.cpp for convenience, raw llama.cpp wins on speed and control. Benchmarks, GPU offload flags, and when each wins.

I added a WebMCP benchmark to DeepDeck, my MIT-licensed macOS desktop project built on DeepSeek...

I packaged DeepSeek Harness (dsh) into a double-clickable macOS installer for Apple Silicon. It worked on my machine — then died instantly on a clean Mac. Here's the otool -L investigation that found 24 absolute library paths baked into th…

A few days ago, I posted a tutorial in the Spring AI Dev community on how to use Anthropic Claude’s...

A week ago I published a fairly absurd number: 612.9 million tokens for $28.35. That was DeepSeek...

TL;DR: send previous_response_id to Ollama's /v1/responses and it is accepted, the reply is HTTP 200...

A deep mathematical and PyTorch breakdown of Multi-Head Latent Attention (MLA), matrix absorption, and decoupled RoPE.

This week’s headlines highlight the rapid evolution of AI in China, with models like Qwen and...

LLM Pricing Digest: DeepSeek Quietly Drops Two New Flash Models Weekly roundup from LLM...