Update README.md

README.md

@@ -4,12 +4,16 @@ tags:
 - trl
 - sft
 - generated_from_trainer
+- text-generation-inference
 base_model: NousResearch/Llama-2-7b-chat-hf
 datasets:
-- generator
+- Thimira/sinhala-llm-dataset-llama-prompt-format
 model-index:
 - name: sinhala-llama-2-7b-chat-hf
   results: []
+license: llama2
+language:
+- si
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -17,15 +21,34 @@ should probably proofread and complete it, then remove this comment. -->
 
 # sinhala-llama-2-7b-chat-hf
 
-This model is a fine-tuned version of [NousResearch/Llama-2-7b-chat-hf](https://huggingface.co/NousResearch/Llama-2-7b-chat-hf) on the generator dataset.
+This model is a fine-tuned version of [NousResearch/Llama-2-7b-chat-hf](https://huggingface.co/NousResearch/Llama-2-7b-chat-hf) on the [Thimira/sinhala-llm-dataset-llama-prompt-format](https://huggingface.co/datasets/Thimira/sinhala-llm-dataset-llama-prompt-format) dataset.
 
 ## Model description
 
-More information needed
+This is a model for Sinhala language text generation which is fine-tuned from the base llama-2-7b-chat-hf model.
+
+Currently the capabilities of themodel are extremely limited, and requires further data and fine-tuning to be useful. Feel free to experiment with the model and provide feedback.
+
+### Usage example
+
+```python
+from transformers import AutoTokenizer, AutoModelForCausalLM, pipeline
+
+tokenizer = AutoTokenizer.from_pretrained("Thimira/sinhala-llama-2-7b-chat-hf")
+model = AutoModelForCausalLM.from_pretrained("Thimira/sinhala-llama-2-7b-chat-hf")
+
+pipe = pipeline(task="text-generation", model=model, tokenizer=tokenizer, max_length=200)
+
+prompt = "ඔබට සිංහල භාෂාව තේරුම් ගත හැකිද?"
+result = pipe(f"<s>[INST] {prompt} [/INST]")
+print(result[0]['generated_text'])
+```
 
 ## Intended uses & limitations
 
-More information needed
+The Sinhala-LLaMA models are intended for assistant-like chat in the Sinhala language.
+
+To get the expected features and performance from these models the LLaMA 2 prompt format needs to be followed, including the INST and <<SYS>> tags, BOS and EOS tokens, and the whitespaces and breaklines in between.
 
 ## Training and evaluation data