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Model: BAAI/Aquila2-7B
Source: Original Platform

README.md

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+---
+license: other
+---
+
+![Aquila_logo](./log.jpeg)
+
+<h4 align="center">
+    <p>
+        <b>English</b> |
+        <a href="https://huggingface.co/BAAI/Aquila2-7B/blob/main/README_zh.md">简体中文</a> |
+    <p>
+</h4>
+
+
+We opensource our **Aquila2** series, now including **Aquila2**, the base language models, namely **Aquila2-7B** and **Aquila2-34B**, as well as **AquilaChat2**, the chat models, namely **AquilaChat2-7B** and **AquilaChat2-34B**, as well as the long-text chat models, namely **AquilaChat2-7B-16k** and **AquilaChat2-34B-16k**
+
+The additional details of the Aquila model will be presented in the official technical report. Please stay tuned for updates on official channels.
+
+## Updates 2024.6.6
+
+We have updated the basic language model **Aquila2-7B**, which has the following advantages compared to the previous model:
+
+* Replaced tokenizer with higher compression ratio:
+
+| Tokenizer | Size  | Zh                       | En     | Code  | Math   | Average |
+|-----------|-------|--------------------------|--------|-------|-------|---------|
+| Aquila2-original   | 100k  | **4.70**                 | 4.42   | 3.20  | 3.77  | 4.02    |
+| Qwen1.5   | 151k  | 4.27                     | 4.51   | 3.62  | 3.35  | 3.94    |
+| Llama3    | 128k  | 3.45                     | **4.61**   | 3.77  | **3.88** | 3.93    |
+| Aquila2-new     | 143k  | 4.60                     | **4.61** | **3.78** | **3.88**  | **4.22** |
+
+* The maximum processing length supported by the model has increased from 2048 to 8192
+
+
+
+## Quick Start  Aquila2-7B
+
+### 1. Inference
+Aquila2-7B is a base model that can be used for continuation.
+
+```python
+import torch
+from transformers import AutoModelForCausalLM, AutoTokenizer
+from transformers import BitsAndBytesConfig
+
+device= "cuda:0"
+
+# Model Name
+model_name = 'BAAI/Aquila2-7B'
+
+# load model and tokenizer
+quantization_config=BitsAndBytesConfig(
+                        load_in_4bit=True,
+                        bnb_4bit_use_double_quant=True,
+                        bnb_4bit_quant_type="nf4",
+                        bnb_4bit_compute_dtype=torch.bfloat16,
+                    )
+model = AutoModelForCausalLM.from_pretrained(model_name, torch_dtype=torch.bfloat16, trust_remote_code=True,
+                        # quantization_config=quantization_config # Uncomment this one for 4-bit quantization
+                        )
+
+tokenizer = AutoTokenizer.from_pretrained(path, trust_remote_code=True)
+
+model.eval()
+
+model.to(device)
+
+# Example
+text = "The meaning of life is"
+tokens = tokenizer.encode_plus(text)['input_ids']
+tokens = torch.tensor(tokens)[None,].to(device)
+
+with torch.no_grad():
+        out = model.generate(tokens, do_sample=False, max_length=128, eos_token_id=tokenizer.eos_token_id)[0]
+        out = tokenizer.decode(out.cpu().numpy().tolist())
+        print(out)
+```
+
+
+## License
+
+Aquila2 series open-source model is licensed under [ BAAI Aquila Model Licence Agreement](https://huggingface.co/BAAI/Aquila2-7B/blob/main/BAAI-Aquila-Model-License%20-Agreement.pdf)