Create README.md

README.md

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+---
+license: apache-2.0
+datasets:
+- Intel/orca_dpo_pairs
+- nvidia/HelpSteer
+- jondurbin/truthy-dpo-v0.1
+language:
+- en
+library_name: transformers
+pipeline_tag: text-generation
+---
+
+### SOLAR-10.7B-Instruct-Forest-DPO
+Introducing SOLAR-10.7B-Instruct-Forest-DPO, a LLM fine-tuned with base model upstage/SOLAR-10.7B-Instruct-v1.0, using direct preference optimization.
+This model showcases exceptional prowess across a spectrum of natural language processing (NLP) tasks. 
+
+A mixture of the following datasets was used for fine-tuning.
+
+1. Intel/orca_dpo_pairs
+2. nvidia/HelpSteer
+3. jondurbin/truthy-dpo-v0.1
+
+
+💻 Usage
+
+```python
+!pip install -qU transformers bitsandbytes accelerate
+
+from transformers import AutoTokenizer
+import transformers
+import torch
+
+model = "abhishekchohan/SOLAR-10.7B-Instruct-Forest-DPO"
+
+tokenizer = AutoTokenizer.from_pretrained(model)
+pipeline = transformers.pipeline(
+    "text-generation",
+    model=model,
+    model_kwargs={"torch_dtype": torch.float16, "load_in_4bit": True},
+)
+
+messages = [{"role": "user", "content": "Explain what a Mixture of Experts is in less than 100 words."}]
+prompt = pipeline.tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
+outputs = pipeline(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)
+print(outputs[0]["generated_text"])
+
+```