MoziAI-35B is a locally deployable open-source multimodal LLM with a 35B MoE architecture compressed to ~15.9 GB via MoziSmartBit quantization, offering 256K context, vision, tool calling, and a finance-focused reasoning framework.
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THE FIRST COLLECTIONThe Chinese-LLaMA-Alpaca project enhances the original LLaMA model for Chinese NLP by expanding its vocabulary, conducting secondary pre-training with Chinese corpora, and fine-tuning with instruction data. It offers instruction-tuned models, LoRA weights, training scripts, and quantization/deployment tools for local CPU/GPU execution, supporting various ecosystem tools.
Qbot is a fully local, open-source AI quantitative investment research platform integrating ML/RL strategies, backtesting, simulation, and live automated trading across stocks, funds, futures, and crypto, with a GUI client and multi-channel messaging.
LlamaFactory is a Python framework for efficient fine-tuning of 100+ large language and multimodal models, offering zero-code CLI, a Gradio Web UI, LoRA/QLoRA, and multiple training algorithms.
A fast reimplementation of OpenAI's Whisper model using CTranslate2, offering improved transcription speed and reduced memory usage.