measurement.json

README.md

@@ -0,0 +1,90 @@
+---
+license: other
+license_name: gemma-terms-of-use
+license_link: https://ai.google.dev/gemma/terms
+base_model: HuggingFaceH4/zephyr-7b-gemma-sft-v0.1
+tags:
+- alignment-handbook
+- trl
+- dpo
+- generated_from_trainer
+datasets:
+- argilla/dpo-mix-7k
+pipeline_tag: text-generation
+model-index:
+- name: zephyr-7b-gemma
+  results:
+  # MT-Bench (taken from model card)
+  - task: 
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: MT-Bench
+      type: unknown
+    metrics:
+       - type: unknown
+         name: score
+         value: 7.81
+    source:
+      url: https://huggingface.co/spaces/lmsys/mt-bench
+quantized_by: bartowski
+---
+
+## Exllama v2 Quantizations of zephyr-7b-gemma-v0.1
+
+Using <a href="https://github.com/turboderp/exllamav2/releases/tag/v0.0.14">turboderp's ExLlamaV2 v0.0.14</a> for quantization.
+
+<b>The "main" branch only contains the measurement.json, download one of the other branches for the model (see below)</b>
+
+Each branch contains an individual bits per weight, with the main one containing only the meaurement.json for further conversions.
+
+Original model: https://huggingface.co/HuggingFaceH4/zephyr-7b-gemma-v0.1
+
+No GQA - VRAM requirements will be higher
+
+| Branch                                                         | Bits | lm_head bits | Size (4k) | Size (16k) | Description |
+| -------------------------------------------------------------- | ---- | ------------ | --------- | ---------- | ----------- |
+| [8_0](https://huggingface.co/bartowski/zephyr-7b-gemma-v0.1-exl2/tree/8_0) | 8.0 | 8.0 | 14.0 GB | 19.4 GB | Maximum quality that ExLlamaV2 can produce, near unquantized performance. |
+| [6_5](https://huggingface.co/bartowski/zephyr-7b-gemma-v0.1-exl2/tree/6_5) | 6.5  | 8.0 | 12.5 GB | 17.9 GB | Near unquantized performance at vastly reduced size, **recommended**. |
+| [5_0](https://huggingface.co/bartowski/zephyr-7b-gemma-v0.1-exl2/tree/5_0) | 5.0  | 6.0 | 10.9 GB | 16.3 GB | Slightly lower quality vs 6.5, but usable on 8GB cards with 4k context. |
+| [4_25](https://huggingface.co/bartowski/zephyr-7b-gemma-v0.1-exl2/tree/4_25) | 4.25 | 6.0 | 10.2 GB | 15.7 GB | GPTQ equivalent bits per weight. |
+| [3_5](https://huggingface.co/bartowski/zephyr-7b-gemma-v0.1-exl2/tree/3_5) | 3.5 | 6.0 | 9.5 GB | 14.9 GB | Lower quality, not recommended. |
+
+## Download instructions
+
+With git:
+
+```shell
+git clone --single-branch --branch 6_5 https://huggingface.co/bartowski/zephyr-7b-gemma-v0.1-exl2 zephyr-7b-gemma-v0.1-exl2-6_5
+```
+
+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 `zephyr-7b-gemma-v0.1-exl2`:
+
+```shell
+mkdir zephyr-7b-gemma-v0.1-exl2
+huggingface-cli download bartowski/zephyr-7b-gemma-v0.1-exl2 --local-dir zephyr-7b-gemma-v0.1-exl2 --local-dir-use-symlinks False
+```
+
+To download from a different branch, add the `--revision` parameter:
+
+Linux:
+
+```shell
+mkdir zephyr-7b-gemma-v0.1-exl2-6_5
+huggingface-cli download bartowski/zephyr-7b-gemma-v0.1-exl2 --revision 6_5 --local-dir zephyr-7b-gemma-v0.1-exl2-6_5 --local-dir-use-symlinks False
+```
+
+Windows (which apparently doesn't like _ in folders sometimes?):
+
+```shell
+mkdir zephyr-7b-gemma-v0.1-exl2-6.5
+huggingface-cli download bartowski/zephyr-7b-gemma-v0.1-exl2 --revision 6_5 --local-dir zephyr-7b-gemma-v0.1-exl2-6.5 --local-dir-use-symlinks False
+```
+
+Want to support my work? Visit my ko-fi page here: https://ko-fi.com/bartowski