Text Generation
Transformers
Safetensors
mixtral
conversational
Inference Endpoints
text-generation-inference
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@@ -76,6 +76,7 @@ I didn't run any sort of comprehensive set of benchmarks, but here are a couple
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  | model | score |
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  | --- | --- |
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  | bagel-dpo-8x7b-v0.2 | __0.7242__ |
 
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  | bagel-8x7b-v0.2 | 0.5921 |
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  ### GSM8K
@@ -100,6 +101,12 @@ index ccf6a5a3..df0b7422 100644
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  filter_list:
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  ```
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  ### Data sources
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  *Yes, you will see benchmark names in the list, but this only uses the train splits, and a decontamination by cosine similarity is performed at the end as a sanity check*
 
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  | model | score |
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  | --- | --- |
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  | bagel-dpo-8x7b-v0.2 | __0.7242__ |
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+ | mixtral-8x7b-instruct-v0.1 | 0.6498 |
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  | bagel-8x7b-v0.2 | 0.5921 |
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  ### GSM8K
 
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  filter_list:
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  ```
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+ | model | score |
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+ | --- | --- |
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+ | bagel-dpo-8x7b-v0.2 | |
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+ | mixtral-8x7b-instruct-v0.1 | |
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+ | bagel-8x7b-v0.2 | 0.5360 |
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+
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  ### Data sources
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  *Yes, you will see benchmark names in the list, but this only uses the train splits, and a decontamination by cosine similarity is performed at the end as a sanity check*