potatogpt
llama.cpp
| potatogpt | llama.cpp | |
|---|---|---|
| 2 | 780 | |
| 40 | 57,984 | |
| - | - | |
| 6.0 | 10.0 | |
| about 1 year ago | 6 days ago | |
| TypeScript | C++ | |
| - | MIT License |
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potatogpt
llama.cpp
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IBM Granite: A Family of Open Foundation Models for Code Intelligence
if you can compile stuff, then looking at llama.cpp (what ollama uses) is also interesting: https://github.com/ggerganov/llama.cpp
the server is here: https://github.com/ggerganov/llama.cpp/tree/master/examples/...
And you can search for any GGUF on huggingface
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Ask HN: Affordable hardware for running local large language models?
Yes, Metal seems to allow a maximum of 1/2 of the RAM for one process, and 3/4 of the RAM allocated to the GPU overall. There’s a kernel hack to fix it, but that comes with the usual system integrity caveats. https://github.com/ggerganov/llama.cpp/discussions/2182
- Xmake: A modern C/C++ build tool
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Better and Faster Large Language Models via Multi-Token Prediction
For anyone interested in exploring this, llama.cpp has an example implementation here:
https://github.com/ggerganov/llama.cpp/tree/master/examples/...
- Llama.cpp Bfloat16 Support
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Fine-tune your first large language model (LLM) with LoRA, llama.cpp, and KitOps in 5 easy steps
Getting started with LLMs can be intimidating. In this tutorial we will show you how to fine-tune a large language model using LoRA, facilitated by tools like llama.cpp and KitOps.
- GGML Flash Attention support merged into llama.cpp
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Phi-3 Weights Released
well https://github.com/ggerganov/llama.cpp/issues/6849
- Lossless Acceleration of LLM via Adaptive N-Gram Parallel Decoding
- Llama.cpp Working on Support for Llama3
What are some alternatives?
benchmark - TorchBench is a collection of open source benchmarks used to evaluate PyTorch performance.
ollama - Get up and running with Llama 3, Mistral, Gemma, and other large language models.
requests-wasm-polyfill - Drop-in replacement for the requests library for wasm python
gpt4all - gpt4all: run open-source LLMs anywhere
shumai - Fast Differentiable Tensor Library in JavaScript and TypeScript with Bun + Flashlight
text-generation-webui - A Gradio web UI for Large Language Models. Supports transformers, GPTQ, AWQ, EXL2, llama.cpp (GGUF), Llama models.
anansi - open source tooling for AI search and understanding
GPTQ-for-LLaMa - 4 bits quantization of LLaMA using GPTQ
opov - Operator Overloading for Typescript with Tagged Template Literals
ggml - Tensor library for machine learning
transformers - 🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
alpaca.cpp - Locally run an Instruction-Tuned Chat-Style LLM