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Model: mlabonne/llama-2-7b-miniplatypus
Source: Original Platform

README.md

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+---
+license: apache-2.0
+datasets:
+- mlabonne/mini-platypus
+pipeline_tag: text-generation
+---
+# 🦙🧠 Miniplatypus-7b
+
+<center><img src="https://i.imgur.com/VkGvQym.png" width="300"></center>
+
+This is a `Llama-2-7b-chat` model fine-tuned using QLoRA (4-bit precision) on the [`mlabonne/guanaco-llama2-1k`](https://huggingface.co/datasets/mlabonne/mini-platypus) dataset, which is a subset of the [`garage-bAInd/Open-Platypus`](https://huggingface.co/datasets/garage-bAInd/Open-Platypus).
+
+## 🔧 Training
+
+It was trained on a Google Colab notebook with a T4 GPU. It is mainly designed for educational purposes, not for inference.
+
+## 💻 Usage
+
+``` python
+# pip install transformers accelerate
+
+from transformers import AutoTokenizer
+import transformers
+import torch
+
+model = "mlabonne/llama-2-7b-miniplatypus"
+prompt = "What is a large language model?"
+
+tokenizer = AutoTokenizer.from_pretrained(model)
+pipeline = transformers.pipeline(
+    "text-generation",
+    model=model,
+    torch_dtype=torch.float16,
+    device_map="auto",
+)
+
+sequences = pipeline(
+    f'<s>[INST] {prompt} [/INST]',
+    do_sample=True,
+    top_k=10,
+    num_return_sequences=1,
+    eos_token_id=tokenizer.eos_token_id,
+    max_length=200,
+)
+for seq in sequences:
+    print(f"Result: {seq['generated_text']}")
+```