Update README.md

README.md

@@ -7,12 +7,12 @@ language:
 
 # Open-Instruct Dolly 7B
 
-This model is a 7B LLaMa model finetuned on the Dolly dataset. *please note this is a model diff - see below for usage instructions*.
+This model is a 7B LLaMa model finetuned on the Dolly dataset. *Please note this is a model diff - see below for usage instructions*.
 
-This was trained as part of the paper [How Far Can Camels Go? Exploring the State of Instruction Tuning on Open Resources](arxiv.org/abs/xxxx).
+This was trained as part of the paper [How Far Can Camels Go? Exploring the State of Instruction Tuning on Open Resources](https://arxiv.org/abs/2306.04751).
 The codebase used to train and evaluate this model can be found at [https://github.com/allenai/open-instruct](https://github.com/allenai/open-instruct).
 
-This model is licensed under a modified LlaMa license, see License.txt for details.
+This model is licensed under the AI model license given in LICENSE.txt along with the original Llama license (llama_license.txt).
 
 ## Usage
 
@@ -31,7 +31,7 @@ And you will have a recovered model! Note this takes up a decent amount of RAM,
 
 ## Input Format
 
-The model is trained to use the following format:
+The model is trained to use the following format (note the newlines):
 ```
 <|user|>
 Your message here!
@@ -42,7 +42,7 @@ For best results, format all inputs in this manner.
 
 ## Performance
 
-Here is the performance of this model across benchmarks explored in our paper [How Far Can Camels Go? Exploring the State of Instruction Tuning on Open Resources](arxiv.org/abs/xxxx):
+Here is the performance of this model across benchmarks explored in our paper [How Far Can Camels Go? Exploring the State of Instruction Tuning on Open Resources](https://arxiv.org/abs/2306.04751):
 
 | MMLU 0-shot | MMLU 5-shot | GSM Direct | GSM CoT | BBH Direct | BBH CoT | TydiQA Gold-Passage | TydiQA Closed-book | Codex-Eval Pass@1 | Codex-Eval Pass@10 | AlpacaFarm vs Davinci-003 | Average |
 |:-----------:|:-----------:|:----------:|:-------:|:----------:|:-------:|:-------------------:|:------------------:|:-----------------:|:------------------:|:-------------------------:|---------|