tiiuae/falcon-7b-instruct · Facing Issues with Model Output and Inference Times

I am implementing RAG architecture with ChromaDB as my Vector Store and Falcon-7B as my LLM. I have used Langchains retriever to tie these together. While testing with a single PDF and search results set to return the top 3 matches, I face a number of issues.

The returned answers are not accurate (Tried different Temperature settings)
The model takes a long time and then responds with the same sentence repeated multiple times. (Increasing repetition penalty mitigated this to an extent)
Model does not return with an answer for extended period of times, sometimes greater than 10-15 mins.
Model response is slow. 5X slow in some cases when compared to models like Llama-2 7B or 13B

I reduced the returned search results from 3 to 1, which improved parts of the accuracy and time, however the model stops responding after being queried 3-4 times.

All of these issues have been reported in some form or the other previously

Wrong Output

while giving a input but getting the wrong output for the particular input
falcon-7b-instruct is answering out of context
Repeats the same sentence
any success in In-context question-answering?
Model keeps generating multiple rounds of conversation

Model is Slow or does not give output

Slow inference
4th inference in a row does not work for Falcon7B in 8 or 4 bit

I am using the 16bit version of the model and running on two T4 GPUs on AWS.

Please let me know if there are any workarounds or fixes for the above.

Thanks