fastLLaMa
llama.cpp
| fastLLaMa | llama.cpp | |
|---|---|---|
| 6 | 780 | |
| 402 | 57,984 | |
| - | - | |
| 7.1 | 10.0 | |
| 12 months ago | 7 days ago | |
| C | C++ | |
| MIT License | MIT License |
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fastLLaMa
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[N] OpenLLaMA: An Open Reproduction of LLaMA
If your GPU isn't good enough, you could use llama.cpp, which runs on CPU, or one of its forks like fastLLaMa.
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Serge... Just works
possible through fastllama in python or gpt-llama.cpp an API wrapper around llama.cpp
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llama-cpp-python VS fastLLaMa - a user suggested alternative
2 projects | 25 Apr 2023
It is better, Lots of low level cpp optimisations that are better
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[P] LoRA adapter switching at runtime to enable Base model to inherit multiple personalities
u/_Arsenie_Boca_ you can have a look at this discussion for more info https://github.com/PotatoSpudowski/fastLLaMa/discussions/48
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[P] fastLLaMa, A python wrapper to run llama.cpp
Repo Link
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?
llama-cpp-python - Python bindings for llama.cpp
ollama - Get up and running with Llama 3, Mistral, Gemma, and other large language models.
llama - Inference code for Llama models
gpt4all - gpt4all: run open-source LLMs anywhere
llama.py - Python bindings to llama.cpp
text-generation-webui - A Gradio web UI for Large Language Models. Supports transformers, GPTQ, AWQ, EXL2, llama.cpp (GGUF), Llama models.
serge - A web interface for chatting with Alpaca through llama.cpp. Fully dockerized, with an easy to use API.
GPTQ-for-LLaMa - 4 bits quantization of LLaMA using GPTQ
gpt-llama.cpp - A llama.cpp drop-in replacement for OpenAI's GPT endpoints, allowing GPT-powered apps to run off local llama.cpp models instead of OpenAI.
ggml - Tensor library for machine learning
alpaca.cpp - Locally run an Instruction-Tuned Chat-Style LLM
FastChat - An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.