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  * <h3 style="display: inline;">Release Date:</h3> June 14, 2024
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  * <h3 style="display: inline;">Model Developers:</h3> Neural Magic
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- Qwen2-1.5B-Instruct quantized to FP8 weights and activations using per-tensor quantization through the AutoFP8 repository, ready for inference with vLLM >= 0.5.0.
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  Calibrated with 512 UltraChat samples to achieve 99% performance recovery on the Open LLM Benchmark evaluations.
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  Reduces space on disk by ~40%.
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- Part of the FP8 LLMs for vLLM collection.
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  ## Usage and Creation
 
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  * <h3 style="display: inline;">Release Date:</h3> June 14, 2024
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  * <h3 style="display: inline;">Model Developers:</h3> Neural Magic
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+ Qwen2-1.5B-Instruct quantized to FP8 weights and activations using per-tensor quantization through the [AutoFP8 repository](https://github.com/neuralmagic/AutoFP8), ready for inference with vLLM >= 0.5.0.
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  Calibrated with 512 UltraChat samples to achieve 99% performance recovery on the Open LLM Benchmark evaluations.
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  Reduces space on disk by ~40%.
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+ Part of the [FP8 LLMs for vLLM collection](https://huggingface.co/collections/neuralmagic/fp8-llms-for-vllm-666742ed2b78b7ac8df13127).
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  ## Usage and Creation