Create README.md (#2)

- Create README.md (049730ab252ae501a14b48a957783056957bed40)

README.md

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+---
+license: other
+license_name: tongyi-qianwen
+license_link: https://huggingface.co/Qwen/Qwen2-7B/blob/main/LICENSE
+language:
+- en
+pipeline_tag: text-generation
+tags:
+- chat
+- qwen
+- qwen2
+- finetune
+- chatml
+- OpenHermes-2.5
+- HelpSteer2
+- Orca
+- SlimOrca
+library_name: transformers
+inference: false
+model_creator: MaziyarPanahi
+quantized_by: MaziyarPanahi
+base_model: Qwen/Qwen2-7B
+model_name: Qwen2-7B-Instruct-v0.2
+datasets:
+- nvidia/HelpSteer2
+- teknium/OpenHermes-2.5
+- microsoft/orca-math-word-problems-200k
+- Open-Orca/SlimOrca
+---
+
+<img src="./qwen2-fine-tunes-maziyar-panahi.webp" alt="Qwen2 fine-tune" width="500" style="margin-left:'auto' margin-right:'auto' display:'block'"/>
+
+# MaziyarPanahi/Qwen2-7B-Instruct-v0.2
+
+This is a fine-tuned version of the `Qwen/Qwen2-7B` model. It aims to improve the base model across all benchmarks.
+
+# ⚡ Quantized GGUF
+
+All GGUF models are available here: [MaziyarPanahi/Qwen2-7B-Instruct-v0.2](https://huggingface.co/MaziyarPanahi/Qwen2-7B-Instruct-v0.2)
+
+# 🏆 [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
+
+coming soon!
+
+
+# Prompt Template
+
+This model uses `ChatML` prompt template:
+
+```
+<|im_start|>system
+{System}
+<|im_end|>
+<|im_start|>user
+{User}
+<|im_end|>
+<|im_start|>assistant
+{Assistant}
+````
+
+# How to use
+
+
+```python
+
+# Use a pipeline as a high-level helper
+
+from transformers import pipeline
+
+messages = [
+    {"role": "user", "content": "Who are you?"},
+]
+pipe = pipeline("text-generation", model="MaziyarPanahi/Qwen2-7B-Instruct-v0.2")
+pipe(messages)
+
+
+# Load model directly
+
+from transformers import AutoTokenizer, AutoModelForCausalLM
+
+tokenizer = AutoTokenizer.from_pretrained("MaziyarPanahi/Qwen2-7B-Instruct-v0.2")
+model = AutoModelForCausalLM.from_pretrained("MaziyarPanahi/Qwen2-7B-Instruct-v0.2")
+```