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license: cc-by-nc-2.0
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---
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license: cc-by-nc-2.0
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language:
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- en
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## Exllama v2 Quantizations of laserxtral
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Using <a href="https://github.com/turboderp/exllamav2/releases/tag/v0.0.11">turboderp's ExLlamaV2 v0.0.11</a> for quantization.
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# The "main" branch only contains the measurement.json, download one of the other branches for the model (see below)
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Join Our Discord! https://discord.gg/vT3sktQ3zb
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Each branch contains an individual bits per weight, with the main one containing only the meaurement.json for further conversions.
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Conversion was done using the default calibration dataset.
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Default arguments used.
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Original model: https://huggingface.co/cognitivecomputations/MegaDolphin-120b
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<a href="https://huggingface.co/cognitivecomputations/laserxtral-exl2/tree/6_5">6.5 bits per weight</a>
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<a href="https://huggingface.co/cognitivecomputations/laserxtral-exl2/tree/4">4 bits per weight</a>
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<a href="https://huggingface.co/cognitivecomputations/laserxtral-exl2/tree/3">3 bits per weight</a>
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<a href="https://huggingface.co/cognitivecomputations/laserxtral-exl2/tree/2">2 bits per weight</a>
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Credit to Bartowski for help and model card formatting
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