README.md

metadata

license: apache-2.0
tags:
  - alignment-handbook
  - generated_from_trainer
  - juanako
  - mistral
  - UNA
datasets:
  - HuggingFaceH4/ultrafeedback_binarized
model-index:
  - name: juanako-7b-UNA
    results:
      - task:
          type: text-generation
          name: TruthfulQA (MC2)
        dataset:
          type: text-generation
          name: truthful_qa
          config: multiple_choice
          split: validation
        metrics:
          - type: accuracy
            value: 65.13
            verified: true
      - task:
          type: text-generation
          name: ARC-Challenge
        dataset:
          type: text-generation
          name: ai2_arc
          config: ARC-Challenge
          split: test
        metrics:
          - type: accuracy
            value: 68.17
            verified: true
      - task:
          type: text-generation
          name: HellaSwag
        dataset:
          type: text-generation
          name: Rowan/hellaswag
          split: test
        metrics:
          - type: accuracy
            value: 85.34
            verified: true
      - task:
          type: text-generation
          name: Winogrande
        dataset:
          type: text-generation
          name: winogrande
          config: winogrande_debiased
          split: test
        metrics:
          - type: accuracy
            value: 78.85
            verified: true
      - task:
          type: text-generation
          name: MMLU
        dataset:
          type: text-generation
          name: cais/mmlu
          config: all
          split: test
        metrics:
          - type: accuracy
            value: 62.47
            verified: true
      - task:
          type: text-generation
          name: PiQA
        dataset:
          type: text-generation
          name: piqa
          split: test
        metrics:
          - type: accuracy
            value: 83.57
      - task:
          type: text-generation
          name: DROP
        dataset:
          type: text-generation
          name: drop
          split: validation
        metrics:
          - type: accuracy
            value: 38.74
            verified: true
      - task:
          type: text-generation
          name: PubMedQA
        dataset:
          type: text-generation
          name: bigbio/pubmed_qa
          config: pubmed_qa_artificial_bigbio_qa
          split: validation
        metrics:
          - type: accuracy
            value: 76
quantized_by: bartowski

Exllama v2 Quantizations of juanako-7b-UNA at 5.0 bits per weight

Using turboderp's ExLlamaV2 v0.0.10 for quantization.

Conversion was done using wikitext-103-raw-v1-test.parquet as calibration dataset.

Original model: https://huggingface.co/fblgit/juanako-7b-UNA

Download instructions

With git:

git clone --single-branch --branch 5.0 https://huggingface.co/bartowski/juanako-7b-UNA-exl2

With huggingface hub (credit to TheBloke for instructions):

pip3 install huggingface-hub

To download from a different branch, add the --revision parameter:

mkdir juanako-7b-UNA-exl2
huggingface-cli download bartowski/juanako-7b-UNA-exl2 --revision 5_0 --local-dir juanako-7b-UNA-exl2 --local-dir-use-symlinks False