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--- |
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license: apache-2.0 |
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tags: |
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- alignment-handbook |
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- generated_from_trainer |
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- juanako |
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- mistral |
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- UNA |
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datasets: |
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- HuggingFaceH4/ultrafeedback_binarized |
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model-index: |
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- name: juanako-7b-UNA |
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results: |
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- task: |
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type: text-generation |
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name: TruthfulQA (MC2) |
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dataset: |
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type: text-generation |
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name: truthful_qa |
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config: multiple_choice |
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split: validation |
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metrics: |
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- type: accuracy |
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value: 65.13 |
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verified: true |
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- task: |
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type: text-generation |
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name: ARC-Challenge |
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dataset: |
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type: text-generation |
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name: ai2_arc |
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config: ARC-Challenge |
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split: test |
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metrics: |
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- type: accuracy |
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value: 68.17 |
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verified: true |
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- task: |
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type: text-generation |
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name: HellaSwag |
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dataset: |
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type: text-generation |
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name: Rowan/hellaswag |
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split: test |
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metrics: |
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- type: accuracy |
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value: 85.34 |
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verified: true |
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- task: |
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type: text-generation |
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name: Winogrande |
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dataset: |
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type: text-generation |
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name: winogrande |
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config: winogrande_debiased |
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split: test |
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metrics: |
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- type: accuracy |
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value: 78.85 |
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verified: true |
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- task: |
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type: text-generation |
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name: MMLU |
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dataset: |
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type: text-generation |
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name: cais/mmlu |
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config: all |
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split: test |
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metrics: |
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- type: accuracy |
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value: 62.47 |
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verified: true |
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- task: |
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type: text-generation |
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name: PiQA |
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dataset: |
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type: text-generation |
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name: piqa |
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split: test |
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metrics: |
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- type: accuracy |
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value: 83.57 |
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- task: |
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type: text-generation |
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name: DROP |
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dataset: |
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type: text-generation |
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name: drop |
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split: validation |
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metrics: |
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- type: accuracy |
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value: 38.74 |
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verified: true |
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- task: |
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type: text-generation |
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name: PubMedQA |
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dataset: |
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type: text-generation |
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name: bigbio/pubmed_qa |
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config: pubmed_qa_artificial_bigbio_qa |
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split: validation |
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metrics: |
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- type: accuracy |
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value: 76.0 |
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quantized_by: bartowski |
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pipeline_tag: text-generation |
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--- |
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## Exllama v2 Quantizations of juanako-7b-UNA |
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Using <a href="https://github.com/turboderp/exllamav2/releases/tag/v0.0.10">turboderp's ExLlamaV2 v0.0.10</a> for quantization. |
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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 wikitext-103-raw-v1-test.parquet as calibration dataset. |
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Default arguments used except when the bits per weight is above 6.0, at that point the lm_head layer is quantized at 8 bits per weight instead of the default 6. |
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Original model: https://huggingface.co/fblgit/juanako-7b-UNA |
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<a href="https://huggingface.co/bartowski/juanako-7b-UNA-exl2/tree/4_0">4.0 bits per weight</a> |
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<a href="https://huggingface.co/bartowski/juanako-7b-UNA-exl2/tree/5_0">5.0 bits per weight</a> |
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<a href="https://huggingface.co/bartowski/juanako-7b-UNA-exl2/tree/6_0">6.0 bits per weight</a> |
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<a href="https://huggingface.co/bartowski/juanako-7b-UNA-exl2/tree/8_0">8.0 bits per weight</a> |
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## Download instructions |
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With git: |
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```shell |
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git clone --single-branch --branch 4_0 https://huggingface.co/bartowski/juanako-7b-UNA-exl2 |
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``` |
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With huggingface hub (credit to TheBloke for instructions): |
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```shell |
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pip3 install huggingface-hub |
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``` |
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To download the `main` (only useful if you only care about measurement.json) branch to a folder called `juanako-7b-UNA-exl2`: |
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```shell |
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mkdir juanako-7b-UNA-exl2 |
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huggingface-cli download bartowski/juanako-7b-UNA-exl2 --local-dir juanako-7b-UNA-exl2 --local-dir-use-symlinks False |
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``` |
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To download from a different branch, add the `--revision` parameter: |
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```shell |
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mkdir juanako-7b-UNA-exl2 |
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huggingface-cli download bartowski/juanako-7b-UNA-exl2 --revision 4_0 --local-dir juanako-7b-UNA-exl2 --local-dir-use-symlinks False |
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``` |
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