Improve language tag

README.md

@@ -1,80 +1,92 @@
----
-license: other
-license_name: tongyi-qianwen
-license_link: https://huggingface.co/Qwen/Qwen2.5-72B-Instruct/blob/main/LICENSE
-language:
-- en
-pipeline_tag: text-generation
-base_model: Qwen/Qwen2.5-72B-Instruct
-tags:
-- chat
-quantized_by: bartowski
-base_model_relation: quantized
----
-
-## Exllama v2 Quantizations of Qwen2.5-72B-Instruct
-
-Using <a href="https://github.com/turboderp/exllamav2/releases/tag/v0.2.2">turboderp's ExLlamaV2 v0.2.2</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.
-
-Conversion was done using the default 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/Qwen/Qwen2.5-72B-Instruct
-
-
-<a href="https://huggingface.co/bartowski/Qwen2.5-72B-Instruct-exl2/tree/8_0">8.0 bits per weight</a>
-
-<a href="https://huggingface.co/bartowski/Qwen2.5-72B-Instruct-exl2/tree/6_5">6.5 bits per weight</a>
-
-<a href="https://huggingface.co/bartowski/Qwen2.5-72B-Instruct-exl2/tree/5_0">5.0 bits per weight</a>
-
-<a href="https://huggingface.co/bartowski/Qwen2.5-72B-Instruct-exl2/tree/4_25">4.25 bits per weight</a>
-
-<a href="https://huggingface.co/bartowski/Qwen2.5-72B-Instruct-exl2/tree/3_5">3.5 bits per weight</a>
-
-<a href="https://huggingface.co/bartowski/Qwen2.5-72B-Instruct-exl2/tree/3_0">3.0 bits per weight</a>
-
-<a href="https://huggingface.co/bartowski/Qwen2.5-72B-Instruct-exl2/tree/2_2">2.2 bits per weight</a>
-
-
-## Download instructions
-
-With git:
-
-```shell
-git clone --single-branch --branch 6_5 https://huggingface.co/bartowski/Qwen2.5-72B-Instruct-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 `Qwen2.5-72B-Instruct-exl2`:
-
-```shell
-mkdir Qwen2.5-72B-Instruct-exl2
-huggingface-cli download bartowski/Qwen2.5-72B-Instruct-exl2 --local-dir Qwen2.5-72B-Instruct-exl2
-```
-
-To download from a different branch, add the `--revision` parameter:
-
-Linux:
-
-```shell
-mkdir Qwen2.5-72B-Instruct-exl2-6_5
-huggingface-cli download bartowski/Qwen2.5-72B-Instruct-exl2 --revision 6_5 --local-dir Qwen2.5-72B-Instruct-exl2-6_5
-```
-
-Windows (which apparently doesn't like _ in folders sometimes?):
-
-```shell
-mkdir Qwen2.5-72B-Instruct-exl2-6.5
-huggingface-cli download bartowski/Qwen2.5-72B-Instruct-exl2 --revision 6_5 --local-dir Qwen2.5-72B-Instruct-exl2-6.5
-```
+---
+license: other
+license_name: tongyi-qianwen
+license_link: https://huggingface.co/Qwen/Qwen2.5-72B-Instruct/blob/main/LICENSE
+language:
+- zho
+- eng
+- fra
+- spa
+- por
+- deu
+- ita
+- rus
+- jpn
+- kor
+- vie
+- tha
+- ara
+pipeline_tag: text-generation
+base_model: Qwen/Qwen2.5-72B-Instruct
+tags:
+- chat
+quantized_by: bartowski
+base_model_relation: quantized
+---
+
+## Exllama v2 Quantizations of Qwen2.5-72B-Instruct
+
+Using <a href="https://github.com/turboderp/exllamav2/releases/tag/v0.2.2">turboderp's ExLlamaV2 v0.2.2</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.
+
+Conversion was done using the default 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/Qwen/Qwen2.5-72B-Instruct
+
+
+<a href="https://huggingface.co/bartowski/Qwen2.5-72B-Instruct-exl2/tree/8_0">8.0 bits per weight</a>
+
+<a href="https://huggingface.co/bartowski/Qwen2.5-72B-Instruct-exl2/tree/6_5">6.5 bits per weight</a>
+
+<a href="https://huggingface.co/bartowski/Qwen2.5-72B-Instruct-exl2/tree/5_0">5.0 bits per weight</a>
+
+<a href="https://huggingface.co/bartowski/Qwen2.5-72B-Instruct-exl2/tree/4_25">4.25 bits per weight</a>
+
+<a href="https://huggingface.co/bartowski/Qwen2.5-72B-Instruct-exl2/tree/3_5">3.5 bits per weight</a>
+
+<a href="https://huggingface.co/bartowski/Qwen2.5-72B-Instruct-exl2/tree/3_0">3.0 bits per weight</a>
+
+<a href="https://huggingface.co/bartowski/Qwen2.5-72B-Instruct-exl2/tree/2_2">2.2 bits per weight</a>
+
+
+## Download instructions
+
+With git:
+
+```shell
+git clone --single-branch --branch 6_5 https://huggingface.co/bartowski/Qwen2.5-72B-Instruct-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 `Qwen2.5-72B-Instruct-exl2`:
+
+```shell
+mkdir Qwen2.5-72B-Instruct-exl2
+huggingface-cli download bartowski/Qwen2.5-72B-Instruct-exl2 --local-dir Qwen2.5-72B-Instruct-exl2
+```
+
+To download from a different branch, add the `--revision` parameter:
+
+Linux:
+
+```shell
+mkdir Qwen2.5-72B-Instruct-exl2-6_5
+huggingface-cli download bartowski/Qwen2.5-72B-Instruct-exl2 --revision 6_5 --local-dir Qwen2.5-72B-Instruct-exl2-6_5
+```
+
+Windows (which apparently doesn't like _ in folders sometimes?):
+
+```shell
+mkdir Qwen2.5-72B-Instruct-exl2-6.5
+huggingface-cli download bartowski/Qwen2.5-72B-Instruct-exl2 --revision 6_5 --local-dir Qwen2.5-72B-Instruct-exl2-6.5
+```