BigDL
llama.cpp
| BigDL | llama.cpp | |
|---|---|---|
| 5 | 780 | |
| 6,051 | 57,984 | |
| 17.1% | - | |
| 9.9 | 10.0 | |
| 4 days ago | 5 days ago | |
| Python | C++ | |
| Apache License 2.0 | MIT License |
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BigDL
- PyTorch Library for Running LLM on Intel CPU and GPU
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LLaMA Now Goes Faster on CPUs
Any performance benchmark against intel's 'IPEX-LLM'[0] or others?
[0] - https://github.com/intel-analytics/ipex-llm
- BigDL-LLM: running LLM on your laptop using INT4
- Fast, distributed, secure AI for Big Data
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Machine learning on JVM
Intel BigDL for Spark which again is for Spark.
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
-
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?
Apache Spark - Apache Spark - A unified analytics engine for large-scale data processing
ollama - Get up and running with Llama 3, Mistral, Gemma, and other large language models.
Zeppelin - Web-based notebook that enables data-driven, interactive data analytics and collaborative documents with SQL, Scala and more.
gpt4all - gpt4all: run open-source LLMs anywhere
Axle - Axle Domain Specific Language for Scientific Cloud Computing and Visualization
text-generation-webui - A Gradio web UI for Large Language Models. Supports transformers, GPTQ, AWQ, EXL2, llama.cpp (GGUF), Llama models.
deequ - Deequ is a library built on top of Apache Spark for defining "unit tests for data", which measure data quality in large datasets.
GPTQ-for-LLaMa - 4 bits quantization of LLaMA using GPTQ
Spire - Powerful new number types and numeric abstractions for Scala.
ggml - Tensor library for machine learning
PredictionIO - PredictionIO, a machine learning server for developers and ML engineers.
alpaca.cpp - Locally run an Instruction-Tuned Chat-Style LLM