#python #defi #erc20 #ethereum #flash_loans #smart_contracts #vyper

https://github.com/uniflash/uniflash

#rust #emulator #flash #reimplementation #swf

https://github.com/ruffle-rs/ruffle

#go #golang #flash #h264 #video #hls #livestream #rtmp #flv

https://github.com/gwuhaolin/livego

#python #chinese #flash_attention #large_language_models #llm #natural_language_processing #pretrained_models

The Qwen series includes powerful language models and chat models that can be used for various tasks such as chatting, content creation, information extraction, summarization, translation, coding, and more. Here are the key benefits and features Qwen offers base language models (Qwen-1.8B, Qwen-7B, Qwen-14B, Qwen-72B) and chat models (Qwen-1.8B-Chat, Qwen-7B-Chat, Qwen-14B-Chat, Qwen-72B-Chat) with different sizes and capabilities.
- **Performance** The models are available in quantized forms (Int4 and Int8) which reduce memory usage and improve inference speed without significant performance degradation.
- **System Prompt** The models can use tools, act as agents, or even interpret code, with good performance on code execution and tool-use benchmarks.
- **Long-Context Understanding** Easy deployment options include using vLLM, FastChat, Web UI demos, CLI demos, and OpenAI-style APIs.
- **Finetuning**: Scripts are provided for finetuning the models using full-parameter, LoRA, and Q-LoRA methods.

Overall, Qwen models offer robust performance, flexibility, and ease of use, making them suitable for a wide range of applications.

https://github.com/QwenLM/Qwen

#c_lang #driver #flash #jedec #jedec_sfdp #qspi #sfdp #sfdp_flash #spi_flash #universal_driver

**SFUD** is an open-source library that drives many SPI/QSPI Flash chips from brands like Winbond and Macronix. It auto-detects chip specs via the **SFDP** standard or a built-in table, letting you read, write, erase, and init with simple APIs after easy config. This helps you avoid risks from Flash shortages or upgrades, boosts software reuse across projects, cuts dev time, and enables tools like programmers—saving effort on varied hardware.

https://github.com/armink/SFUD