Projects with this topic
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🔧 🔗 https://github.com/cognitivecomputations/dolphin-utilsThis script analyzes the model.safetensors.index.json file within a model directory to generate a condensed summary of the model's architecture. It groups similar parameter names using range notation (e.g., model.layers.[0-39].mlp.down_proj.weight) and displays the shape and data type (precision) for each parameter group.
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🔧 🔗 https://github.com/cognitivecomputations/agi_memory A sophisticated database design for Artificial General Intelligence (AGI) memory management, implementing multiple types of memory storageUpdated -
Dolphin MCP
https://github.com/QuixiAI/dolphin-mcp A flexible Python library and CLI tool for interacting with Model Context Protocol (MCP) servers using any LLM model.
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🔧 🔗 https://github.com/cognitivecomputations/dolphin-loggerThis proxy allows you to record your chats to create datasets based on your conversations with any Chat LLM. It supports multiple LLM backends including OpenAI, Anthropic, Google and Ollama.
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🔧 🔗 https://github.com/cognitivecomputations/dolphinflow-optimizer DolphinFlow is a pragmatic, hardware agnostic, memory-efficient PyTorch optimizer that uses orthogonalization techniques to improve neural network training stability and performance, particularly for models with large, dense layers.DolphinFlow is inspired by the optimizers I've worked with, including Muon and AdamW, with a focus on fine tuning pretrained and instruct tuned large language models such as Llama, Mistral, Qwen, DeepSeek, Gemma, Phi, and others.
DolphinFlow is about results. I'm a practitioner, not a theoretician. I build things that do things.
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🔧 🔗 https://github.com/cognitivecomputations/dolphin-mcpA flexible Python library and CLI tool for interacting with Model Context Protocol (MCP) servers using any LLM model.
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🔧 🔗 https://github.com/cognitivecomputations/dolphin-editDolphin Editor is a cross-platform, minimalist code editor laser-focused on one task: efficiently opening, viewing, and searching extr
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