bartowski commited on
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Quant for 5.0

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.gitattributes CHANGED
@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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  *.zip filter=lfs diff=lfs merge=lfs -text
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  *.zst filter=lfs diff=lfs merge=lfs -text
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  *tfevents* filter=lfs diff=lfs merge=lfs -text
 
 
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  *.zip filter=lfs diff=lfs merge=lfs -text
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  *.zst filter=lfs diff=lfs merge=lfs -text
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  *tfevents* filter=lfs diff=lfs merge=lfs -text
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+ Assets/lelantos.png filter=lfs diff=lfs merge=lfs -text
README.md CHANGED
@@ -1,41 +1,21 @@
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  ---
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- base_model: mistralai/Mistral-7B-v0.1
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- tags:
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- - mistral
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- - chatml
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- - merge
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- model-index:
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- - name: Lelantos-7B
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- results: []
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- license: apache-2.0
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- language:
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- - en
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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 Lelantos-7B
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  Using <a href="https://github.com/turboderp/exllamav2/releases/tag/v0.0.11">turboderp's ExLlamaV2 v0.0.11</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 the default 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/SanjiWatsuki/Lelantos-7B
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-
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- <a href="https://huggingface.co/bartowski/Lelantos-7B-exl2/tree/6_5">6.5 bits per weight</a>
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-
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- <a href="https://huggingface.co/bartowski/Lelantos-7B-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/Lelantos-7B-exl2
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  ```
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  With huggingface hub (credit to TheBloke for instructions):
@@ -44,16 +24,9 @@ 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 `Lelantos-7B-exl2`:
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-
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- ```shell
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- mkdir Lelantos-7B-exl2
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- huggingface-cli download bartowski/Lelantos-7B-exl2 --local-dir Lelantos-7B-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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  mkdir Lelantos-7B-exl2
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- huggingface-cli download bartowski/Lelantos-7B-exl2 --revision 4_0 --local-dir Lelantos-7B-exl2 --local-dir-use-symlinks False
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  ```
 
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  ---
 
 
 
 
 
 
 
 
 
 
 
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  quantized_by: bartowski
 
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  ---
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+ # Exllama v2 Quantizations of Lelantos-7B at 5.0 bits per weight
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  Using <a href="https://github.com/turboderp/exllamav2/releases/tag/v0.0.11">turboderp's ExLlamaV2 v0.0.11</a> for quantization.
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  Conversion was done using the default calibration dataset.
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  Original model: https://huggingface.co/SanjiWatsuki/Lelantos-7B
 
 
 
 
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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 5.0 https://huggingface.co/bartowski/Lelantos-7B-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
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  mkdir Lelantos-7B-exl2
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+ huggingface-cli download bartowski/Lelantos-7B-exl2 --revision 5_0 --local-dir Lelantos-7B-exl2 --local-dir-use-symlinks False
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  ```
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