evaporate
llama.cpp
| evaporate | llama.cpp | |
|---|---|---|
| 3 | 780 | |
| 465 | 58,425 | |
| 1.7% | - | |
| 6.7 | 10.0 | |
| about 2 months ago | about 5 hours ago | |
| Python | C++ | |
| - | MIT License |
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evaporate
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April 2023
Language Models Enable Simple Systems for Generating Structured Views of Heterogeneous Data Lakes (https://github.com/HazyResearch/evaporate)
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Stanford Researchers Propose EVAPORATE: A New AI Approach That Reduces Inference Cost of Language Models by 110x
Github: https://github.com/HazyResearch/evaporate
- LLMs Enable Simple Systems for Generating Structured Views of Data Lakes
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?
phind-for-firefox - Sets phind.com as the default search engine in Firefox
ollama - Get up and running with Llama 3, Mistral, Gemma, and other large language models.
supercharger - Supercharge Open-Source AI Models
gpt4all - gpt4all: run open-source LLMs anywhere
E2B - Secure cloud runtime for AI apps & AI agents. Fully open-source.
text-generation-webui - A Gradio web UI for Large Language Models. Supports transformers, GPTQ, AWQ, EXL2, llama.cpp (GGUF), Llama models.
web-llm - Bringing large-language models and chat to web browsers. Everything runs inside the browser with no server support.
GPTQ-for-LLaMa - 4 bits quantization of LLaMA using GPTQ
textSQL
ggml - Tensor library for machine learning
telegram-chatgpt-concierge-bot - Interact with OpenAI's ChatGPT via Telegram and Voice.
alpaca.cpp - Locally run an Instruction-Tuned Chat-Style LLM