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license: mit
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---
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license: mit
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language:
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- en
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- fr
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- de
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- es
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- it
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- pt
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- ja
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- ko
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- zh
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- ar
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- el
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- fa
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- pl
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- id
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- cs
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- he
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- hi
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- nl
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- ro
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- ru
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- tr
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- uk
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- vi
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---
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# Hormoz 8B
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## Introduction
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## How to run (transformers)
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### Install transformers
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```
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pip install transformers --upgrade
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```
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_Note:_ For better performance, you may need to install `accelerate` package as well.
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### Inference
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```python
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from transformers import AutoTokenizer, AutoModelForCausalLM
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model_id = "mann-e/Hormoz-8B"
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tokenizer = AutoTokenizer.from_pretrained(model_id)
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model = AutoModelForCausalLM.from_pretrained(model_id).to("cuda")
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messages = [{"role": "user", "content": "What is the answer to universe, life and everything?"}]
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input_ids = tokenizer.apply_chat_template(messages, tokenize=True, add_generation_prompt=True, return_tensors="pt").to("cuda")
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gen_tokens = model.generate(
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input_ids,
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max_new_tokens=1024,
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do_sample=True,
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temperature=1.0,
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)
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gen_text = tokenizer.decode(gen_tokens[0])
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print(gen_text)
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```
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