Update README.md

README.md

@@ -35,28 +35,22 @@ The core models released in this batch are the following:
 | [OLMo 7B Twin 2T](https://huggingface.co/allenai/OLMo-7B-Twin-2T) | 2 Trillion   | 32     | 4096        | 32              |  2048  |
 | [OLMo 7B v1.7](https://huggingface.co/allenai/OLMo-7B-v1.7) | 2.TODO   | 32     | 4096        | 32              |  2048  |
 
+*Note: OLMo 7B v1.7 also includes QKV clipping.*
+
 We are releasing many checkpoints for these models, for every 1000 traing steps.
 The naming convention is `step1000-tokens4B`.
-In particular, we focus on four revisions of the 7B models:
-
-| Name | HF Repo | Model Revision |  Tokens | Note |
-|------------|---------|----------------|-------------------|------|
-|OLMo 7B| [allenai/OLMo-7B](https://huggingface.co/allenai/OLMo-7B)|`main`| 2.5T|The base OLMo 7B model|
-|OLMo 7B (not annealed)|[allenai/OLMo-7B](https://huggingface.co/allenai/OLMo-7B)|step556000-tokens2460B|2.5T| learning rate not annealed to 0|
-|OLMo 7B-2T|[allenai/OLMo-7B](https://huggingface.co/allenai/OLMo-7B)| step452000-tokens2000B |2T| OLMo checkpoint at 2T tokens|
-|OLMo-7B-Twin-2T|[allenai/OLMo-7B-Twin-2T](https://huggingface.co/allenai/OLMo-7B-Twin-2T)|`main`|2T| Twin version on different hardware|
 
 To load a specific model revision with HuggingFace, simply add the argument `revision`:
 ```bash
 import hf_olmo # pip install ai2-olmo
-olmo = AutoModelForCausalLM.from_pretrained("allenai/OLMo-7B", revision="step1000-tokens4B")
+olmo = AutoModelForCausalLM.from_pretrained("allenai/OLMo-7B-v1.7", revision="step1000-tokens4B")
 ```
 
 All revisions/branches are listed in the file `revisions.txt`. 
 Or, you can access all the revisions for the models via the following code snippet:
 ```python
 from huggingface_hub import list_repo_refs
-out = list_repo_refs("allenai/OLMo-7B")
+out = list_repo_refs("allenai/OLMo-7B-v1.7")
 branches = [b.name for b in out.branches]
 ```
 A few revisions were lost due to an error, but the vast majority are present.