Update README.md

README.md

@@ -188,7 +188,7 @@ extra_gated_button_content: Submit
 quantized_by: bartowski
 ---
 
-## Exllama v2 Quantizations of Meta-Llama-3-8B-Instruct
+## Exllama v2 Quantizations of Meta-Llama-3-8B-Instruct with <|eot_id|> set to special=False
 
 Using <a href="https://github.com/turboderp/exllamav2/releases/tag/v0.0.19">turboderp's ExLlamaV2 v0.0.19</a> for quantization.
 
@@ -213,18 +213,18 @@ Original model: https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct
 
 | Branch | Bits | lm_head bits | VRAM (4k) | VRAM (8K) | VRAM (16k) | VRAM (32k) | Description |
 | ----- | ---- | ------- | ------ | ------ | ------ | ------ | ------------ |
-| [8_0](https://huggingface.co/bartowski/Meta-Llama-3-8B-Instruct-exl2/tree/8_0) | 8.0 | 8.0 | 10.1 GB | 10.5 GB | 11.5 GB | 13.6 GB | Maximum quality that ExLlamaV2 can produce, near unquantized performance. |
-| [6_5](https://huggingface.co/bartowski/Meta-Llama-3-8B-Instruct-exl2/tree/6_5) | 6.5 | 8.0 | 8.9 GB | 9.3 GB | 10.3 GB | 12.4 GB | Very similar to 8.0, good tradeoff of size vs performance, **recommended**. |
-| [5_0](https://huggingface.co/bartowski/Meta-Llama-3-8B-Instruct-exl2/tree/5_0) | 5.0 | 6.0 | 7.7 GB | 8.1 GB | 9.1 GB | 11.2 GB | Slightly lower quality vs 6.5, but usable on 8GB cards. |
-| [4_25](https://huggingface.co/bartowski/Meta-Llama-3-8B-Instruct-exl2/tree/4_25) | 4.25 | 6.0 | 7.0 GB | 7.4 GB | 8.4 GB | 10.5 GB | GPTQ equivalent bits per weight, slightly higher quality. |
-| [3_5](https://huggingface.co/bartowski/Meta-Llama-3-8B-Instruct-exl2/tree/3_5) | 3.5 | 6.0 | 6.4 GB | 6.8 GB | 7.8 GB | 9.9 GB | Lower quality, only use if you have to. |
+| [8_0](https://huggingface.co/bartowski/Meta-Llama-3-8B-Instruct-special-eot-false-exl2/tree/8_0) | 8.0 | 8.0 | 10.1 GB | 10.5 GB | 11.5 GB | 13.6 GB | Maximum quality that ExLlamaV2 can produce, near unquantized performance. |
+| [6_5](https://huggingface.co/bartowski/Meta-Llama-3-8B-Instruct-special-eot-false-exl2/tree/6_5) | 6.5 | 8.0 | 8.9 GB | 9.3 GB | 10.3 GB | 12.4 GB | Very similar to 8.0, good tradeoff of size vs performance, **recommended**. |
+| [5_0](https://huggingface.co/bartowski/Meta-Llama-3-8B-Instruct-special-eot-false-exl2/tree/5_0) | 5.0 | 6.0 | 7.7 GB | 8.1 GB | 9.1 GB | 11.2 GB | Slightly lower quality vs 6.5, but usable on 8GB cards. |
+| [4_25](https://huggingface.co/bartowski/Meta-Llama-3-8B-Instruct-special-eot-false-exl2/tree/4_25) | 4.25 | 6.0 | 7.0 GB | 7.4 GB | 8.4 GB | 10.5 GB | GPTQ equivalent bits per weight, slightly higher quality. |
+| [3_5](https://huggingface.co/bartowski/Meta-Llama-3-8B-Instruct-special-eot-false-exl2/tree/3_5) | 3.5 | 6.0 | 6.4 GB | 6.8 GB | 7.8 GB | 9.9 GB | Lower quality, only use if you have to. |
 
 ## Download instructions
 
 With git:
 
 ```shell
-git clone --single-branch --branch 6_5 https://huggingface.co/bartowski/Meta-Llama-3-8B-Instruct-exl2 Meta-Llama-3-8B-Instruct-exl2-6_5
+git clone --single-branch --branch 6_5 https://huggingface.co/bartowski/Meta-Llama-3-8B-Instruct-special-eot-false-exl2 Meta-Llama-3-8B-Instruct-special-eot-false-exl2-6_5
 ```
 
 With huggingface hub (credit to TheBloke for instructions):
@@ -238,13 +238,13 @@ To download a specific branch, use the `--revision` parameter. For example, to d
 Linux:
 
 ```shell
-huggingface-cli download bartowski/Meta-Llama-3-8B-Instruct-exl2 --revision 6_5 --local-dir Meta-Llama-3-8B-Instruct-exl2-6_5 --local-dir-use-symlinks False
+huggingface-cli download bartowski/Meta-Llama-3-8B-Instruct-special-eot-false-exl2 --revision 6_5 --local-dir Meta-Llama-3-8B-Instruct-special-eot-false-exl2-6_5 --local-dir-use-symlinks False
 ```
 
 Windows (which apparently doesn't like _ in folders sometimes?):
 
 ```shell
-huggingface-cli download bartowski/Meta-Llama-3-8B-Instruct-exl2 --revision 6_5 --local-dir Meta-Llama-3-8B-Instruct-exl2-6.5 --local-dir-use-symlinks False
+huggingface-cli download bartowski/Meta-Llama-3-8B-Instruct-special-eot-false-exl2 --revision 6_5 --local-dir Meta-Llama-3-8B-Instruct-special-eot-false-exl2-6.5 --local-dir-use-symlinks False
 ```
 
 Want to support my work? Visit my ko-fi page here: https://ko-fi.com/bartowski