OpenROAD
llama.cpp
| OpenROAD | llama.cpp | |
|---|---|---|
| 7 | 775 | |
| 1,334 | 57,463 | |
| 4.1% | - | |
| 10.0 | 10.0 | |
| 5 days ago | 4 days ago | |
| Verilog | C++ | |
| BSD 3-clause "New" or "Revised" License | MIT License |
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OpenROAD
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Importance of Open-Source EDA Tools for Academia
> [1]: https://theopenroadproject.org/
All it takes to check your point is to scroll down to the end and follow the link at the bottom of the page to the FOSSI foundation, who hosted this open letter, to realize that they have also developed some widely used EDA tools. Here's a link on case you have missed it
https://fossi-foundation.org/our-work/projects
- OpenROAD
- Ser programador científico en chile
- OpenROAD: Open IC Design Sythesis from Verilog
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I see that many open riscv cores use Scala that generate verilog. Is this common practice?
If you're interested in tools, I highly recommend going through the (Google-supported) OpenROAD toolset - these guys are building up a open-source infrastructure for the full digital flow: https://theopenroadproject.org/ .
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VLSI Tools
You can have a quick look at OpenROAD. It is open source but will take sometime to get started with.
llama.cpp
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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
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Embeddings are a good starting point for the AI curious app developer
Have just done this recently for local chat with pdf feature in https://recurse.chat. (It's a macOS app that has built-in llama.cpp server and local vector database)
Running an embedding server locally is pretty straightforward:
- Get llama.cpp release binary: https://github.com/ggerganov/llama.cpp/releases
What are some alternatives?
OpenROAD-flow-scripts - OpenROAD's scripts implementing an RTL-to-GDS Flow. Documentation at https://openroad-flow-scripts.readthedocs.io/en/latest/
ollama - Get up and running with Llama 3, Mistral, Gemma, and other large language models.
openlane - OpenLane is an automated RTL to GDSII flow based on several components including OpenROAD, Yosys, Magic, Netgen and custom methodology scripts for design exploration and optimization.
gpt4all - gpt4all: run open-source LLMs anywhere
siliconcompiler - A modular build system for hardware
text-generation-webui - A Gradio web UI for Large Language Models. Supports transformers, GPTQ, AWQ, EXL2, llama.cpp (GGUF), Llama models.
XiangShan - Open-source high-performance RISC-V processor
GPTQ-for-LLaMa - 4 bits quantization of LLaMA using GPTQ
chisel-template - A template project for beginning new Chisel work
ggml - Tensor library for machine learning
hammer - Hammer: Highly Agile Masks Made Effortlessly from RTL
alpaca.cpp - Locally run an Instruction-Tuned Chat-Style LLM