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- name: workspace/llm_training/axolotl/llama3-multilingual-orpo/output_mitsu_half_borda
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results: []
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---
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# Suzume ORPO
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<p align="center">
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- name: workspace/llm_training/axolotl/llama3-multilingual-orpo/output_mitsu_half_borda
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results: []
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---
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# Exllama v2 lightblue/suzume-llama-3-8B-multilingual-orpo-borda-half
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Using <a href="https://github.com/turboderp/exllamav2/releases/tag/v0.0.21">turboderp's ExLlamaV2 v0.0.21</a> for quantization.
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<b>The "main" branch only contains the measurement.json, download one of the other branches for the model</b>
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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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Original model: <a href="https://huggingface.co/lightblue/suzume-llama-3-8B-multilingual-orpo-borda-half">lightblue/suzume-llama-3-8B-multilingual-orpo-borda-half</a><br>
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Calibration dataset: <a href="https://huggingface.co/datasets/cosmicvalor/toxic-qna">toxic-qna</a>
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## Available sizes
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| Branch | Bits | lm_head bits | Description |
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| ----- | ---- | ------- | ------------ |
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| [8_0](https://huggingface.co/Apel-sin/suzume-llama-3-8B-multilingual-orpo-borda-half-exl2/tree/8_0) | 8.0 | 8.0 | Maximum quality that ExLlamaV2 can produce, near unquantized performance. |
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| [6_5](https://huggingface.co/Apel-sin/suzume-llama-3-8B-multilingual-orpo-borda-half-exl2/tree/6_5) | 6.5 | 8.0 | Very similar to 8.0, good tradeoff of size vs performance, **recommended**. |
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| [5_5](https://huggingface.co/Apel-sin/suzume-llama-3-8B-multilingual-orpo-borda-half-exl2/tree/5_5) | 5.5 | 8.0 | Slightly lower quality vs 6.5, but usable on 8GB cards. |
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# Suzume ORPO
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<p align="center">
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