---
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: 76.0
quantized_by: bartowski
---

# Exllama v2 Quantizations of juanako-7b-UNA at 8.0 bits per weight

Using <a href="https://github.com/turboderp/exllamav2/releases/tag/v0.0.10">turboderp's ExLlamaV2 v0.0.10</a> 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:

```shell
git clone --single-branch --branch 8.0 https://huggingface.co/bartowski/juanako-7b-UNA-exl2
```

With huggingface hub (credit to TheBloke for instructions):

```shell
pip3 install huggingface-hub
```

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

```shell
mkdir juanako-7b-UNA-exl2
huggingface-cli download bartowski/juanako-7b-UNA-exl2 --revision 8_0 --local-dir juanako-7b-UNA-exl2 --local-dir-use-symlinks False
```