35 lines
863 B
Markdown
35 lines
863 B
Markdown
---
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base_model: []
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tags:
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- mergekit
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- merge
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license: apache-2.0
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---
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This is a merge of pre-trained language models created based on DARE using [mergekit](https://github.com/cg123/mergekit).
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More descriptions of the model will be added soon.
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### **Loading the Model**
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Use the following Python code to load the model:
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```python
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import torch
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from transformers import MistralForCausalLM, AutoTokenizer
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model = MistralForCausalLM.from_pretrained("vanillaOVO/merge_7B_state_2", device_map="auto")
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tokenizer = AutoTokenizer.from_pretrained("vanillaOVO/merge_7B_state_2")
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```
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### **Generating Text**
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To generate text, use the following Python code:
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```python
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text = "Large language models are "
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inputs = tokenizer(text, return_tensors="pt")
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outputs = model.generate(**inputs, max_new_tokens=256)
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print(tokenizer.decode(outputs[0], skip_special_tokens=True))
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```
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