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Tokenflood

simulate arbitrary loads on instruction-tuned LLMs. Tokenflood is a load testing framework for simulating arbitary loads on instruction-tuned LLMs. === Tokenflood is a load testing tool for instruction-tuned LLMs hat can simulate arbitrary LLM loads in terms of prompt, prefix, and output lengths and requests per second.

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  2. Calculate token/s & GPU memory requirement for any LLM. Supports llama.cpp/ggml/bnb/QLoRA quantization

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    pluggable CLI filter that saved 91.8% of my LLM tokens

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    a Rust Crate/CLI for CPU Inference of LLMs (LLaMA, GPT-NeoX, etc.)

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  5. Sandboxes for AI agents. Securely run untrusted, LLM-generated code in isolated Firecracker microVM sandboxes that scale from one to thousands — with snapshot, suspend/resume, and durable orchestration.

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