bartowski commited on
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Quant for 4.0

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README.md CHANGED
@@ -19,6 +19,7 @@ prompt_template: '<|im_start|>system
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  <|im_start|>assistant
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  '
 
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  tags:
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  - code
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  - instruct
@@ -33,31 +34,22 @@ tags:
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  ![training loss](https://cdn-uploads.huggingface.co/production/uploads/63ba46aa0a9866b28cb19a14/EYUTlcPFz-2nXzNj5_gsW.png)
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  quantized_by: bartowski
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- pipeline_tag: text-generation
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  ---
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- ## Exllama v2 Quantizations of zephyr_7b_norobots
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  Using <a href="https://github.com/turboderp/exllamav2/releases/tag/v0.0.8">turboderp's ExLlamaV2 v0.0.8</a> for quantization.
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- Each branch contains an individual bits per weight, with the main one containing only the meaurement.json for further conversions.
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-
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  Conversion was done using wikitext-103-raw-v1-test.parquet as calibration dataset.
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- 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.
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-
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  Original model: https://huggingface.co/TheBloke/zephyr_7b_norobots-fp16
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-
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- <a href="https://huggingface.co/bartowski/zephyr_7b_norobots-exl2/tree/6_0">6.0 bits per weight</a>
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-
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- <a href="https://huggingface.co/bartowski/zephyr_7b_norobots-exl2/tree/8_0">8.0 bits per weight</a>
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  ## Download instructions
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  With git:
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  ```shell
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- git clone --single-branch --branch 4_0 https://huggingface.co/bartowski/zephyr_7b_norobots-exl2
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  ```
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  With huggingface hub (credit to TheBloke for instructions):
@@ -66,13 +58,6 @@ With huggingface hub (credit to TheBloke for instructions):
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  pip3 install huggingface-hub
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  ```
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- To download the `main` (only useful if you only care about measurement.json) branch to a folder called `zephyr_7b_norobots-exl2`:
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-
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- ```shell
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- mkdir zephyr_7b_norobots-exl2
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- huggingface-cli download bartowski/zephyr_7b_norobots-exl2 --local-dir zephyr_7b_norobots-exl2 --local-dir-use-symlinks False
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- ```
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-
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  To download from a different branch, add the `--revision` parameter:
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  ```shell
 
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  <|im_start|>assistant
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  '
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+ quantized_by: TheBloke
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  tags:
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  - code
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  - instruct
 
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  ![training loss](https://cdn-uploads.huggingface.co/production/uploads/63ba46aa0a9866b28cb19a14/EYUTlcPFz-2nXzNj5_gsW.png)
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  quantized_by: bartowski
 
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  ---
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+ # Exllama v2 Quantizations of zephyr_7b_norobots at 4.0 bits per weight
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  Using <a href="https://github.com/turboderp/exllamav2/releases/tag/v0.0.8">turboderp's ExLlamaV2 v0.0.8</a> for quantization.
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  Conversion was done using wikitext-103-raw-v1-test.parquet as calibration dataset.
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  Original model: https://huggingface.co/TheBloke/zephyr_7b_norobots-fp16
 
 
 
 
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  ## Download instructions
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  With git:
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  ```shell
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+ git clone --single-branch --branch 4.0 https://huggingface.co/bartowski/zephyr_7b_norobots-exl2
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  ```
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  With huggingface hub (credit to TheBloke for instructions):
 
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  pip3 install huggingface-hub
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  ```
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  To download from a different branch, add the `--revision` parameter:
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  ```shell
config.json ADDED
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+ "pretraining_tp": 1
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+ }
generation_config.json ADDED
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