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updated screenshot

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  1. README.md +3 -2
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@@ -41,7 +41,7 @@ The questions can be split half-half in 2 possible ways:
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  # Results
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- ![benchmark-results.png](https://cdn-uploads.huggingface.co/production/uploads/65a681d3da9f6df1410562e9/ITtCeVEQqYvhQW5a0duJA.png)
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  # Remarks about some of the models
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@@ -71,7 +71,8 @@ Disappointing. Censored and difficult to bypass. Even when bypassed, the model t
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  to escape it and return to its censored state. Lots of GTPism. My feeling is that even though it was trained
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  on a huge amount of data, I seriously doubt the quality of that data. However, I realised the performance
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  is actually very close to miqu-1, which means that finetuning and merges should be able to bring huge
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- improvements.
 
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  [Miqu-MS-70B](https://huggingface.co/Undi95/Miqu-MS-70B)\
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  Terribly bad :-( Has lots of difficulties following instructions. Poor writing style. Switching to any of the 3 recommended prompt formats does not help.
 
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  # Results
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+ ![benchmark-results.png](https://cdn-uploads.huggingface.co/production/uploads/65a681d3da9f6df1410562e9/cduDXpf8Ur1nHDTV4jq-G.png)
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  # Remarks about some of the models
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  to escape it and return to its censored state. Lots of GTPism. My feeling is that even though it was trained
72
  on a huge amount of data, I seriously doubt the quality of that data. However, I realised the performance
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  is actually very close to miqu-1, which means that finetuning and merges should be able to bring huge
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+ improvements. I benchmarked this model before the fixes added to llama.cpp, which means I will need to do it
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+ again, which I am not looking forward to.
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  [Miqu-MS-70B](https://huggingface.co/Undi95/Miqu-MS-70B)\
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  Terribly bad :-( Has lots of difficulties following instructions. Poor writing style. Switching to any of the 3 recommended prompt formats does not help.