ggml
llama-cpp-python
| ggml | llama-cpp-python | |
|---|---|---|
| 3 | 56 | |
| 19 | 6,850 | |
| - | - | |
| 8.6 | 9.8 | |
| 7 months ago | 3 days ago | |
| Python | ||
| MIT License | MIT License |
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ggml
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Run LLMs at home, BitTorrent‑style
https://github.com/philpax/ggml/blob/gguf-spec/docs/gguf.md#...
It is (IMO) a necessary and good change.
I just specified gguf because my 3090 cannot host a 70B model without offloading outside of exLlama's very new ~2 bit quantization.
- GGUF File Format Specification
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Meta: Code Llama, an AI Tool for Coding
While we're at it, the GGML file format has been deprecated in favor of GGUF.
https://github.com/philpax/ggml/blob/gguf-spec/docs/gguf.md
https://github.com/ggerganov/llama.cpp/pull/2398
llama-cpp-python
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Ollama v0.1.33 with Llama 3, Phi 3, and Qwen 110B
There's a Python binding for llama.cpp which is actively maintained and has worked well for me: https://github.com/abetlen/llama-cpp-python
- FLaNK AI for 11 March 2024
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OpenAI: Memory and New Controls for ChatGPT
I'll share the core bit that took a while to figure out the right format, my main script is a hot mess using embeddings with SentenceTransformer, so I won't share that yet. E.g: last night I did a PR for llama-cpp-python that shows how Phi might be used with JSON only for the author to write almost exactly the same code at pretty much the same time. https://github.com/abetlen/llama-cpp-python/pull/1184
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TinyLlama LLM: A Step-by-Step Guide to Implementing the 1.1B Model on Google Colab
Python Bindings for llama.cpp
- Mistral-8x7B-Chat
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Running Mistral LLM on Apple Silicon Using Apple's MLX Framework Is Much Faster
If the model could be made to work with llama.cpp, then https://github.com/abetlen/llama-cpp-python might be more compact. llama.cpp only supports a limited list of model types though.
- Run ChatGPT-like LLMs on your laptop in 3 lines of code
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Code Llama, a state-of-the-art large language model for coding
https://github.com/abetlen/llama-cpp-python has a web server mode that replicates openai's API iirc and the readme shows it has docker builds already.
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Meta: Code Llama, an AI Tool for Coding
LocalAI https://localai.io/ and LMStudio https://lmstudio.ai/ both have fairly complete OpenAI compatibility layers. llama-cpp-python has a FastAPI server as well: https://github.com/abetlen/llama-cpp-python/blob/main/llama_... (as of this moment it hasn't merged GGUF update yet though)
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First steps with llama
I went with Python, llama-cpp-python, since my goal is just to get a small project up and running locally.
What are some alternatives?
ollama - Get up and running with Llama 3, Mistral, Gemma, and other large language models.
LocalAI - :robot: The free, Open Source OpenAI alternative. Self-hosted, community-driven and local-first. Drop-in replacement for OpenAI running on consumer-grade hardware. No GPU required. Runs gguf, transformers, diffusers and many more models architectures. It allows to generate Text, Audio, Video, Images. Also with voice cloning capabilities.
chat.petals.dev - 💬 Chatbot web app + HTTP and Websocket endpoints for LLM inference with the Petals client
intel-extension-for-pytorch - A Python package for extending the official PyTorch that can easily obtain performance on Intel platform
smartcat
llama.cpp - LLM inference in C/C++
LoRA - Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"
text-generation-inference - Large Language Model Text Generation Inference
godot-dodo - Finetuning large language models for GDScript generation.
mlc-llm - Universal LLM Deployment Engine with ML Compilation
codellama - Inference code for CodeLlama models
FastChat - An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.