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Run local LLMs with llama-cpp and generate drug-like molecule SMILES.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "llamacpp-mcp" yet — see the docs or source repo.
Use a local llama-cpp model to answer this: Summarize the key points of this technical document and list 3 implementation recommendations.
A summary and recommendation list generated by the local LLM.
Generate 10 candidate drug-like molecules in SMILES format and provide a brief note for each one.
A list of drug-like molecule SMILES strings with short annotations.
Based on these target properties, suggest 5 possible drug-like molecule SMILES: higher lipophilicity, moderate molecular weight, and no obviously reactive groups.
Candidate SMILES aligned with the target properties and brief selection rationale.
Run Llama models locally for private, offline AI assistance.
Connect local llama.cpp models to IBM Bob in VS Code.
Delegate low-risk tasks to a cheaper model with main-agent review.
Securely let AI read, search, and edit local files with local LLMs.
Connect local Ollama to MCP apps for chat, model management, and generation.
Connect AI apps to a local Llama model for contextual retrieval.