Main branch

README.md

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+---
+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
+pipeline_tag: text-generation
+---
+
+## Exllama v2 Quantizations of juanako-7b-UNA
+
+Using <a href="https://github.com/turboderp/exllamav2/releases/tag/v0.0.10">turboderp's ExLlamaV2 v0.0.10</a> for quantization.
+
+Each branch contains an individual bits per weight, with the main one containing only the meaurement.json for further conversions.
+
+Conversion was done using wikitext-103-raw-v1-test.parquet as calibration dataset.
+
+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.
+
+Original model: https://huggingface.co/fblgit/juanako-7b-UNA
+
+## Download instructions
+
+With git:
+
+```shell
+git clone --single-branch --branch 4_0 https://huggingface.co/bartowski/juanako-7b-UNA-exl2
+```
+
+With huggingface hub (credit to TheBloke for instructions):
+
+```shell
+pip3 install huggingface-hub
+```
+
+To download the `main` (only useful if you only care about measurement.json) branch to a folder called `juanako-7b-UNA-exl2`:
+
+```shell
+mkdir juanako-7b-UNA-exl2
+huggingface-cli download bartowski/juanako-7b-UNA-exl2 --local-dir juanako-7b-UNA-exl2 --local-dir-use-symlinks False
+```
+
+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 4_0 --local-dir juanako-7b-UNA-exl2 --local-dir-use-symlinks False
+```