Quantization made by Richard Erkhov.

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opt-350m-instruct - AWQ
- Model creator: https://huggingface.co/nnpy/
- Original model: https://huggingface.co/nnpy/opt-350m-instruct/




Original model description:
---
license: apache-2.0
datasets:
- openchat/openchat_sharegpt4_dataset
---

## Usage
```
from transformers import AutoTokenizer, AutoModelForCausalLM
tok = AutoTokenizer.from_pretrained('facebook/opt-350m')
model = AutoModelForCausalLM.from_pretrained('prasanna2003/opt-350m-instruct')

system_message = "You are AI language model helps the human."
input_prompt = "Define data science."

prompt = '<system>' + system_message + '<human>' + input_prompt + '<assistant>'
prompt = tokenizer(prompt, return_tensors='pt')
out = model.generate(**prompt, max_length=120)
print(tok.decode(out[0]))
```