ViewTube

llama.cpp's new MoE expert cache took a 125B model from 9.7 to 37.2 tokens a second on one 24 GB GPU. Here's where that 4× ...

The same Radeon GPU, the same Qwen model, no new quantization trick: 9.7 tokens per second became 37.2. llama.cpp already ...

Install llama.cpp on Windows from the official GitHub release and run GGUF models on your own computer: a chat in the terminal, ...

Last time, PolyStrata made my used $300 Radeon RX 6700 XT 12GB fast. So do you even need it, or is plain llama.cpp good ...

Meet Llama: run AI models locally on your Mac, right from the menu bar. Find models that fit your Mac, download with one click, ...

Underdog Saluki 27B is a new 7.9GB local AI model that compresses the original 55.6GB Qwen 27B model using aggressive 2-bit ...

Build an AI Cluster with Android Phones Using llama.cpp Can you turn Android phones into an AI computing cluster?

48GB VRAM for local AI: we ranked ten ways to get 48 gigabytes of graphics memory, cheapest first, at this week's prices, from two ...

llama.cpp's built-in server can now speak and listen: a new /tts address turns text into a WAV voice, and a new /v1/realtime ...

lama.cpp internals explained, step by step. We follow one prompt through the real source code: from the GGUF file, through RAM ...

In this video, I look at an interesting model from Recursive AI called Flint, which is their first public attempt at building a very fast ...

Why is your LLM slow? Every token, the GPU hauls all the model weights from memory and mostly waits. Speculative decoding ...

How to clone llama cpp (Step by Step) #how #to #clone #llama #cpp.

You already run llama.cpp. You might call it Ollama, or LM Studio, or Jan — underneath it is the same engine. On 7 October ...

llamacpp #localai #localllm Seven free local AI engines claim to beat llama.cpp, sometimes by two, three, or even eight times, but ...

Join this channel to get access to perks: https://www.youtube.com/channel/@aicodeking/join In this video, I'll test Recursive Flint, ...