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GTKWave is a fully featured GTK+ based wave viewer for Unix and Win32 which reads LXT, LXT2, VZT, FST, and GHW files as well as standard Verilog VCD/EVCD files and allows their viewing.
`std::execution`, the proposed C++ framework for asynchronous and parallel programming.
The gem5 Bootcamp 2022 environment. Archived.
Unified Communication X (mailing list - https://elist.ornl.gov/mailman/listinfo/ucx-group)
Libtpa(Transport Protocol Acceleration), a DPDK based userspace TCP stack implementation.
A quick guide (especially) for trending instruction finetuning datasets
Master programming by recreating your favorite technologies from scratch.
Fine-tune SantaCoder for Code/Text Generation.
A framework for few-shot evaluation of language models.
Sparsity-aware deep learning inference runtime for CPUs
Self-evaluating interview for AI coders
Run evaluation on LLMs using human-eval benchmark
Code for the ICML 2023 paper "SparseGPT: Massive Language Models Can Be Accurately Pruned in One-Shot".
[NeurIPS 2023] LLM-Pruner: On the Structural Pruning of Large Language Models. Support Llama-3/3.1, Llama-2, LLaMA, BLOOM, Vicuna, Baichuan, TinyLlama, etc.
Minimal code to train a Large Language Model (LLM).
BertViz: Visualize Attention in NLP Models (BERT, GPT2, BART, etc.)
Learn where some of the network sysctl variables fit into the Linux/Kernel network flow. Translations: 🇷🇺
Toolkit for fine-tuning, ablating and unit-testing open-source LLMs.
🤖🌊 aiFlows: The building blocks of your collaborative AI
Universal and Transferable Attacks on Aligned Language Models
Implementation of the LLaMA language model based on nanoGPT. Supports flash attention, Int8 and GPTQ 4bit quantization, LoRA and LLaMA-Adapter fine-tuning, pre-training. Apache 2.0-licensed.
LLMs build upon Evol Insturct: WizardLM, WizardCoder, WizardMath
[ICLR 2024] Fine-tuning LLaMA to follow Instructions within 1 Hour and 1.2M Parameters