AVA-Qwen1.5-7B-Chat / README.md
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# AVA-Qwen1.5-7
Fine-Tuned Qwen1.5 7B Persian Large Language Model LLM / Persian Qwen1.5 7B
# AVA-Qwen1.5 / Persian Qwen
<img src="Qwen15.png" height="600" width="940" >
### This Repository Contains Documents for Fine-Tuned Qwen1.5 Persian Large Language Model(LLM) Called AVA-Qwen1.5
(Still in progress)
-------------------------------------------------
### Dataset used:
To Be Done
-------------------------------------------------
### Usage:
All models are hosted in HuggingFace, and here is the code for inference:
```py
from transformers import AutoModelForCausalLM, AutoTokenizer, GenerationConfig
import torch
model_name_or_id = "MehdiHosseiniMoghadam/AVA-Qwen1.5-7B-Chat"
model = AutoModelForCausalLM.from_pretrained(model_name_or_id, torch_dtype=torch.float16, device_map="auto", low_cpu_mem_usage=True, load_in_8bit=True)
tokenizer = AutoTokenizer.from_pretrained(model_name_or_id)
prompt = ''
prompt = f"### Human:{prompt}\n### Assistant:"
inputs = tokenizer(prompt, return_tensors="pt").to("cuda")
generation_config = GenerationConfig(
do_sample=True,
top_k=1,
temperature=0.01,
max_new_tokens=90,
pad_token_id=tokenizer.eos_token_id
)
outputs = model.generate(**inputs, generation_config=generation_config)
print(tokenizer.decode(outputs[0], skip_special_tokens=True))
```
## License
[![License](https://img.shields.io/badge/license-MIT-blue.svg)](/LICENSE)
Released Jan 30, 2024 by [Mehdi Hosseini Moghadam](https://github.com/mehdihosseinimoghadam)
Attention ⚠️: The user is responsible for using AVA-Llama-3 / Persian Llama 3
Any misuse of the model (of any kind) is the responsibility of the user and not the creator
## Contact
<a href="https://ir.linkedin.com/in/mehdi-hosseini-moghadam-384912198" target="_blank"><img src="https://cdn-icons.flaticon.com/png/512/3536/premium/3536505.png?token=exp=1644871115~hmac=59bc0b44906adebd63f84642086d4695" alt="Buy Me A Coffee" style="height: 50px !important;width: 50px !important;box-shadow: 0px 3px 2px 0px rgba(190, 190, 190, 0.5) !important;-webkit-box-shadow: 0px 3px 2px 0px rgba(190, 190, 190, 0.5) !important;" ></a>
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