llama.onnx
llama.cpp
| llama.onnx | llama.cpp | |
|---|---|---|
| 2 | 778 | |
| 324 | 57,984 | |
| - | - | |
| 7.3 | 10.0 | |
| 10 months ago | 3 days ago | |
| Python | C++ | |
| GNU General Public License v3.0 only | MIT License |
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llama.onnx
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Qnap TS-264
You can find LLM models in the onnx format here: https://github.com/tpoisonooo/llama.onnx
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Langchain question and answer without openai
You also need a LLM to do this. Please check this out to pick one up from the llama family. Other works like llama.onnx, alpaca-native and llama model on hugging face are also worth checking.
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?
Chinese-LLaMA-Alpaca - 中文LLaMA&Alpaca大语言模型+本地CPU/GPU训练部署 (Chinese LLaMA & Alpaca LLMs)
ollama - Get up and running with Llama 3, Mistral, Gemma, and other large language models.
fastT5 - ⚡ boost inference speed of T5 models by 5x & reduce the model size by 3x.
gpt4all - gpt4all: run open-source LLMs anywhere
motorhead - 🧠 Motorhead is a memory and information retrieval server for LLMs.
text-generation-webui - A Gradio web UI for Large Language Models. Supports transformers, GPTQ, AWQ, EXL2, llama.cpp (GGUF), Llama models.
AST-1 - Join the movement led by IZX.ai to create the world's best open-source LLM.
GPTQ-for-LLaMa - 4 bits quantization of LLaMA using GPTQ
llama2.openvino - This sample shows how to implement a llama-based model with OpenVINO runtime
ggml - Tensor library for machine learning
openvino - OpenVINO™ is an open-source toolkit for optimizing and deploying AI inference
alpaca.cpp - Locally run an Instruction-Tuned Chat-Style LLM