minor formatting changes

README.md

@@ -93,7 +93,7 @@ This model can be served with a GPU containing at least 8GB of VRAM.
 
 ## Results
 **MTBench**<br>
-[MTBench](https://huggingface.co/spaces/lmsys/mt-bench) is a popular evaluation harness that uses strong LLMs like GPT-4 to act as judges and assess the quality of the models' responses./
+[MTBench](https://huggingface.co/spaces/lmsys/mt-bench) is a popular evaluation harness that uses strong LLMs like GPT-4 to act as judges and assess the quality of the models' responses.
 | Model | Score | Parameter Size | Pretrain Tokens |
 |:-:|:-:|:-:|:-:|
 | meta-llama/Llama-2-7b-chat-hf | 6.27 | 7B | 2T |
@@ -108,7 +108,6 @@ This model can be served with a GPU containing at least 8GB of VRAM.
 | databricks/dolly-v2-3b | 2.33 | 3B | 0.3T |
 | EleutherAI/pythia-2.8b | 1.81 | 2.8B | 0.3T |
 | tiiuae/falcon-rw-1b | 1.18 | 1B | 0.35T |
-<br><br>
 
 The 2K context window version of 1.5-Pints can be found [here](https://huggingface.co/pints-ai/1.5-Pints-2K-v0.1).
 
@@ -205,10 +204,10 @@ DPO parameters used are the exact same as those specified in [The Alignment Hand
 <br><br>
 
 **BibTeX:**
-[More Information Needed]
+[TBA]
 
 **APA**
-[More Information Needed]
+[TBC]
 <br><br>
 
 ## Legal Warning