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Openai/691c1dba-9228-800f-8463-13b3a9006306
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==== 1. OS: Ubuntu 22.04 (or WSL2/Ubuntu if youβre on Windows). ==== # Drivers: Latest NVIDIA drivers compatible with your 2080 Supers + CUDA 11.x/12.x. (Install through apt or NVIDIA installer). # Python env: Miniconda. # Core tools: - llama.cpp (for ggml CPU/GPU usage) β very lightweight, great for quantized models. - text-generation-webui β friendly UI + supports many backends (llama.cpp, GPTQ, bitsandbytes). - vLLM (optional later) β high-performance serving for GPU but needs CUDA+PyTorch setup. - QPTuning/GPTQ and gptq-for-llama β for quantizing models locally. - FAISS or Weaviate for embeddings/memory store. - sentence-transformers for embeddings (local CPU accelerated by Intel MKL). # Optional wrappers: Ollama or LM Studio for UX, if you prefer GUIs β but these may be proprietary/paid.
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