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    gpu_poor

    gpu_poor

    Calculate token/s & GPU memory requirement for any LLM

    ...The tool also provides a detailed breakdown of where GPU memory is allocated, including model weights, KV cache, activations, and other runtime overhead. This information allows developers to evaluate trade-offs between different quantization methods such as GGML, bitsandbytes, and QLoRA before attempting to deploy a model. gpu_poor is particularly useful for researchers and hobbyists.
    Downloads: 0 This Week
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