Note that UI cannot control which GPUs (or CPU mode) for LLaMa models. CUDA_VISIBLE_DEVICES=0 if have multiple GPUs. CUDA_VISIBLE_DEVICES which GPUs are used.n_jobs: number of cores for various tasks.Set environment variables (in system properties->advanced->environment variables) to control things: To terminate the app, in task manager kill the Python process named pythonw.exe as will also show up in nvidia-smi if using GPUs. To use LLaMa model, go to Models tab, select llama base model, then click load to download from preset URL. After installation, go to start and run h2oGPT, and a web browser will open for h2oGPT. ![]() The installers include all dependencies for document Q/A except for models (LLM, embedding, reward), which you can download through the UI. Windows 10/11 64-bit with full document Q/A capability LLaMa-2-7B-Chat-GGUF for 9GB+ GPU memory or larger models like LLaMa-2-13B-Chat-GGUF if you have 16GB+ GPU memory. We recommend quantized models for most small-GPU systems, e.g. For AVX1 or AMD ROC systems, edit reqs_optional/requirements_optional_gpt4all.txt to choose valid packages. ![]() If you encounter issues with llama-cpp-python or other packages that try to compile and fail, try binary wheels for your platform as linked in the detailed instructions below. Then go to your browser by visiting or Choose 13B for a better model than 7B. Python generate.py -base_model=TheBloke/zephyr-7B-beta-GGUF -prompt_type=zephyr -max_seq_len=4096 # GPL, only run next line if that is ok: # pip install -r reqs_optional/requirements_optional_ Pip install -r reqs_optional/requirements_optional_ Pip install -r reqs_optional/requirements_optional_gpt4all.txt Pip install -r reqs_optional/requirements_optional_langchain.txt To quickly try out h2oGPT with limited document Q/A capability, create a fresh Python 3.10 environment and run: Quality maintained with over 1000 unit and integration tests taking over 4 GPU-hours.Evaluate performance using reward models.Agents for Search, Document Q/A, Python Code, CSV frames (Experimental, best with OpenAI currently).Web-Search integration with Chat and Document Q/A.Python client API (to talk to Gradio server).Server Proxy API (drop-in-replacement to OpenAI server).Inference Servers support (HF TGI server, vLLM, Gradio, ExLLaMa, Replicate, OpenAI, Azure OpenAI, Anthropic).Easy macOS Installer for macOS (CPU/M1/M2).Easy Windows Installer for Windows 10 64-bit (CPU/CUDA).Linux, Docker, macOS, and Windows support.State Preservation in the UI by user/password.Authentication in the UI by user/password.Easy Download of model artifacts and control over models like LLaMa.cpp through the UI.Bake-off UI mode against many models at the same time.AI Assistant Voice Control Mode for hands-free control of h2oGPT chat.Voice TTS using MPL2-Licensed TTS including Voice Cloning and Streaming audio conversion. ![]()
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