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@@ -27,8 +27,8 @@ It also perfectly fits the approach taken here - Depth Upscaling, inspired by SO
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  ## Nous LLM Evaluation (with ChatML Prompt Template)
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  | Model | AGIEval | GPT4All | TruthfulQA | Bigbench | Average |
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  |---------------------------|---------|----------|------------|-----------|---------|
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- | SynthIQ-7b | 42.67 | **73.71** | 56.51 | **44.59** | **54.37** |
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- | openchat/openchat-3.5-0106 | **44.17** | 73.72 | 52.53 | 44.4 | 53.71 |
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  | Chikuma_10.7B | 42.41 | 73.41 | **56.69** | 43.5 | 54 |
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  More details can be found [here](https://gist.github.com/sethuiyer/08b4498ed13a6dead38ad3a6f12e349a)
 
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  ## Nous LLM Evaluation (with ChatML Prompt Template)
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  | Model | AGIEval | GPT4All | TruthfulQA | Bigbench | Average |
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  |---------------------------|---------|----------|------------|-----------|---------|
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+ | SynthIQ-7b | 42.67 | 73.71 | 56.51 | **44.59** | **54.37** |
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+ | openchat/openchat-3.5-0106 | **44.17** | **73.72** | 52.53 | 44.4 | 53.71 |
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  | Chikuma_10.7B | 42.41 | 73.41 | **56.69** | 43.5 | 54 |
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  More details can be found [here](https://gist.github.com/sethuiyer/08b4498ed13a6dead38ad3a6f12e349a)