Update README.md

README.md

@@ -19,7 +19,7 @@ language:
 
 OLMo is a series of **O**pen **L**anguage **Mo**dels designed to enable the science of language models.
 The OLMo base models are trained on the [Dolma](https://huggingface.co/datasets/allenai/dolma) dataset.
-The adapted versions are trained on the [Tulu SFT mixture](https://huggingface.co/datasets/allenai/tulu-v2-sft-mixture) and, for the Instruct version, a [cleaned version of the UltraFeedback dataset](https://huggingface.co/datasets/allenai/ultrafeedback_binarized_cleaned).
+The adapted versions are trained on the [Tulu SFT mixture](https://huggingface.co/datasets/allenai/tulu-v2-sft-mixture-olmo-4096) and, for the Instruct version, a [cleaned version of the UltraFeedback dataset](https://huggingface.co/datasets/allenai/ultrafeedback_binarized_cleaned).
 
 OLMo 7B Instruct SFT are two adapted versions of these models trained for better question answering.
 These are updated OLMo models corresponding to our July 2024 release.
@@ -30,8 +30,8 @@ They show the performance gain that OLMo base models can achieve with existing f
 We release two adapted model versions:
 | Model | Training Method(s) | Datasets | Context Length | 
 |------|--------|---------|--|
-| [OLMo 7B July 2024 SFT](https://huggingface.co/allenai/OLMo-1.7-7B-Nitro-SFT-hf)   | SFT | [Tulu 2 SFT Mix](https://huggingface.co/datasets/allenai/tulu-v2-sft-mixture)     | 2048        | 
-| [OLMo 7B July 2024 Instruct](https://huggingface.co/allenai/OLMo-1.7-7B-Nitro-Instruct-hf) | SFT + DPO   | [Tulu 2 SFT Mix](https://huggingface.co/datasets/allenai/tulu-v2-sft-mixture) + [Ultrafeedback Cleaned](https://huggingface.co/datasets/allenai/ultrafeedback_binarized_cleaned)     | 2048 |
+| [OLMo 7B July 2024 SFT](https://huggingface.co/allenai/OLMo-1.7-7B-Nitro-SFT-hf)   | SFT | [Tulu 2 SFT Mix](https://huggingface.co/datasets/allenai/allenai/tulu-v2-sft-mixture-olmo-4096)     | 4096        | 
+| [OLMo 7B July 2024 Instruct](https://huggingface.co/allenai/OLMo-1.7-7B-Nitro-Instruct-hf) | SFT + DPO   | [Tulu 2 SFT Mix](https://huggingface.co/datasets/allenai/tulu-v2-sft-mixture-olmo-4096) + [Ultrafeedback Cleaned](https://huggingface.co/datasets/allenai/ultrafeedback_binarized_cleaned)     | 4096 |
 
 These models are both trained on top of OLMo 7b July 2024:
 | Size | Training Tokens | Layers | Hidden Size | Attention Heads | Context Length |
@@ -104,7 +104,7 @@ Core model results for the 7B adapted models are found below.
 ## Model Details
 
 ### Data
-For training data details, please see the [Dolma](https://huggingface.co/datasets/allenai/dolma), [Tulu 2](https://huggingface.co/datasets/allenai/tulu-v2-sft-mixture), and [UltraFeedback](https://huggingface.co/datasets/openbmb/UltraFeedback) documentation.
+For training data details, please see the [Dolma](https://huggingface.co/datasets/allenai/dolma), [Tulu 2](https://huggingface.co/datasets/allenai/tulu-v2-sft-mixture-olmo-4096), and [UltraFeedback](https://huggingface.co/datasets/openbmb/UltraFeedback) documentation.
 
 ### Architecture