Walter Masterson
Det. Joe Bauer
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Llama Cop: With Como T. Llama, Walter Masterson, Antonio D. Charity, Brad Lee Wind. While investigating the murder of his partner, Detective Joe Bauer must team up with the unpredictable rookie Buddy Callahan, who doesn't play by the rules and is also a llama.
- (53)
- 2014-04-01
- Action, Comedy, Crime
- Overview
- Description
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Roadmap / Project status / Manifesto / ggml
Inference of Meta's LLaMA model (and others) in pure C/C++
Hot topics
•Remove LLAMA_MAX_DEVICES and LLAMA_SUPPORTS_GPU_OFFLOAD: #5240
•Incoming backends: #5138
•SYCL backend is ready (1/28/2024), support Linux/Windows in Intel GPUs (iGPU, Arc/Flex/Max series)
The main goal of llama.cpp is to enable LLM inference with minimal setup and state-of-the-art performance on a wide variety of hardware - locally and in the cloud.
•Plain C/C++ implementation without any dependencies
•Apple silicon is a first-class citizen - optimized via ARM NEON, Accelerate and Metal frameworks
•AVX, AVX2 and AVX512 support for x86 architectures
•2-bit, 3-bit, 4-bit, 5-bit, 6-bit, and 8-bit integer quantization for faster inference and reduced memory use
•Custom CUDA kernels for running LLMs on NVIDIA GPUs (support for AMD GPUs via HIP)
Get the Code Build
In order to build llama.cpp you have three different options. •Using make: •On Linux or MacOS: •On Windows: 1.Download the latest fortran version of w64devkit. 2.Extract w64devkit on your pc. 3.Run w64devkit.exe. 4.Use the cd command to reach the llama.cpp folder. 5.From here you can run: •Using CMake: •Using Zig (version 0.11 or later): Building for optimization levels and CPU features can be accomplished using standard build arguments, for example AVX2, FMA, F16C, it's also possible to cross compile for other operating systems and architectures: The zig targets command will give you valid options to use. •Using gmake (FreeBSD): 1.Install and activate DRM in FreeBSD 2.Add your user to video group 3.Install compilation dependencies. Notes: With this packages you can build llama.cpp with OPENBLAS and CLBLAST support for use OpenCL GPU acceleration in FreeBSD. Please read the instructions for use and activate this options in this document below.
Metal Build
On MacOS, Metal is enabled by default. Using Metal makes the computation run on the GPU. To disable the Metal build at compile time use the LLAMA_NO_METAL=1 flag or the LLAMA_METAL=OFF cmake option. When built with Metal support, you can explicitly disable GPU inference with the --n-gpu-layers|-ngl 0 command-line argument.
MPI Build
MPI lets you distribute the computation over a cluster of machines. Because of the serial nature of LLM prediction, this won't yield any end-to-end speed-ups, but it will let you run larger models than would otherwise fit into RAM on a single machine. First you will need MPI libraries installed on your system. The two most popular (only?) options are MPICH and OpenMPI. Either can be installed with a package manager (apt, Homebrew, MacPorts, etc). Next you will need to build the project with LLAMA_MPI set to true on all machines; if you're building with make, you will also need to specify an MPI-capable compiler (when building with CMake, this is configured automatically): •Using make: •Using CMake: Once the programs are built, download/convert the weights on all of the machines in your cluster. The paths to the weights and programs should be identical on all machines. Next, ensure password-less SSH access to each machine from the primary host, and create a hostfile with a list of the hostnames and their relative "weights" (slots). If you want to use localhost for computation, use its local subnet IP address rather than the loopback address or "localhost". Here is an example hostfile: The above will distribute the computation across 2 processes on the first host and 1 process on the second host. Each process will use roughly an equal amount of RAM. Try to keep these numbers small, as inter-process (intra-host) communication is expensive. Finally, you're ready to run a computation using mpirun:
Llama Cop. Seasons Years. 1. S1.E1 ∙ Llethal Weapon. Tue, Apr 1, 2014. After catching Callahan conducting an illegal sting operation, Det. Bauer seeks to report him to the captain. But information Callahan has about McClane's murder may make him change his mind. Rate. S1.E2 ∙ Dirty, Hairy. Tue, Apr 22, 2014.
Bauer tries to get information about the mysterious "Mr. H" from Jumpy Johnny. When he resists it's time for a little good cop/llama cop.
While investigating the murder of his partner, Detective Joe Bauer must team up with the unpredictable rookie Buddy Callahan, who doesn't play by the rules and is also a llama.
Apr 23, 2014 · April 23, 2014 at 5:48 p.m. EDT. This month, Starz Digital Media launched a six-episode YouTube series called “Llama Cop.” As you might guess from the name, this is a show about a llama who is...
Go behind the scenes of LLAMA COP for a hilarious montage of cutting room floor outtakes and antics. Unpredictable rookie cop Bud... A New Action-Comedy Series!
