Selefra
llama.cpp
| Selefra | llama.cpp | |
|---|---|---|
| 36 | 773 | |
| 508 | 56,891 | |
| 0.8% | - | |
| 7.6 | 10.0 | |
| 8 months ago | 7 days ago | |
| Go | C++ | |
| MPL-2.0 | MIT License |
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Selefra
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A Better Version Is Released - Selefra v0.2.3
[Feature]Modules support filtering, while labels support customization of any format. by @FelixsJiang in #30
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How to spot and troubleshoot AWS S3 bucket object traversal issues
Selefra Project Repository: github.com/selefra/selefra
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April 2023
Analyze cloud resources using GPT (https://github.com/selefra/selefra)
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Policy-as-code is recommended for managing cloud and SaaS services
Selefra: Selefra is an open-source Policy as Code tool that can use natural language to write rules for security compliance checks, cost configuration checks, and architecture rationality checks on current cloud services.
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Using GPT to Analyze Cloud Security Issues for GCP
GitHub: https://github.com/selefra/selefra
Website: https://www.selefra.io/
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Using GPT to Analyze Cloud Security Issues
Here, we strongly encourage you to try Selefra and enjoy a faster and more efficient cloud security analysis and resolution experience. You can find more information about Selefra on our official website (https://www.selefra.io/) or GitHub (https://github.com/selefra/selefra), or follow our Twitter account (https://twitter.com/SelefraCorp) for more real-time updates.
- Made a ChatGPT-powered AI Cloud insight open-source tools
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Using Selefra GPT to Check whether GCP has architecture design defects
Check out and star GitHub: https://github.com/selefra/selefra
llama.cpp
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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
- Mixtral 8x22B
- Llama.cpp: Improve CPU prompt eval speed
What are some alternatives?
ZeusCloud - Open Source Cloud Security
ollama - Get up and running with Llama 3, Mistral, Gemma, and other large language models.
E2B - Secure cloud runtime for AI apps & AI agents. Fully open-source.
gpt4all - gpt4all: run open-source LLMs anywhere
Flowise - Drag & drop UI to build your customized LLM flow
text-generation-webui - A Gradio web UI for Large Language Models. Supports transformers, GPTQ, AWQ, EXL2, llama.cpp (GGUF), Llama models.
salami - Infrastructure as Natural Language
GPTQ-for-LLaMa - 4 bits quantization of LLaMA using GPTQ
textSQL
ggml - Tensor library for machine learning
deepdoctection - A Repo For Document AI
alpaca.cpp - Locally run an Instruction-Tuned Chat-Style LLM