update the model card to reflect the non-reproducibility of benchmarks (#74)

- update the model card to reflect the non-reproducibility of benchmarks (079ecaacd3b70854e46de6e01d2d846704976c27)


Co-authored-by: Clem 🤗 <[email protected]>

README.md

@@ -8,14 +8,11 @@ library_name: transformers
 
 | IMPORTANT — This is the new, working version of the Reflection Llama 3.1 70B model. Please use this version.
 
-**Reflection Llama-3.1 70B is (currently) the world's top open-source LLM, trained with a new technique called Reflection-Tuning that teaches a LLM to detect mistakes in its reasoning and correct course.**
+**Reflection Llama-3.1 70B is an open-source LLM, trained with a new technique called Reflection-Tuning that teaches a LLM to detect mistakes in its reasoning and correct course.**
 
 The model was trained on synthetic data generated by [Glaive](https://glaive.ai). If you're training a model, Glaive is incredible — use them.
 
 ## Benchmarks
-![image/png](https://cdn-uploads.huggingface.co/production/uploads/60518f3731c5be7f3dd5ebc3/zNs-ZFs0SbnomH7mikiOU.png)
-
-All benchmarks tested have been checked for contamination by running [LMSys's LLM Decontaminator](https://github.com/lm-sys/llm-decontaminator). When benchmarking, we isolate the `<output>` and benchmark on solely that section.
 
 Trained from Llama 3.1 70B Instruct, you can sample from Reflection Llama-3.1 70B using the same code, pipelines, etc. as any other Llama model. It even uses the stock Llama 3.1 chat template format (though, we've trained in a few new special tokens to aid in reasoning and reflection).