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malhajar/
Mixtral-8x7B-v0.1-turkish

Name: Mixtral-8x7B-v0.1-turkish
Availability: InStock

malhajar/alpaca-gpt4-tr

autotrain_compatible

text-generation-inference

endpoints_compatible

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Model Card for Model ID

malhajar/Mixtral-8x7B-v0.1-turkish is a finetuned version of Mixtral-8x7B-v0.1 using SFT Training. This model can answer information in turkish language as it is finetuned on a turkish dataset specifically alpaca-gpt4-tr

Model Description

Developed by: Mohamad Alhajar
Language(s) (NLP): Turkish
Finetuned from model: mistralai/Mixtral-8x7B-v0.1

Prompt Template

### Instruction:

<prompt> (without the <>)

### Response:

How to Get Started with the Model

Use the code sample provided in the original post to interact with the model.

python

from transformers import AutoTokenizer,AutoModelForCausalLM
 
model_id = "malhajar/Mixtral-8x7B-v0.1-turkish"
model = AutoModelForCausalLM.from_pretrained(model_name_or_path,
                                             device_map="auto",
                                             torch_dtype=torch.float16,
                                             revision="main")

tokenizer = AutoTokenizer.from_pretrained(model_id)

question: "Türkiyenin en büyük şehir nedir?"
# For generating a response
prompt = f'''
### Instruction:  {question} ### Response:
'''
input_ids = tokenizer(prompt, return_tensors="pt").input_ids
output = model.generate(inputs=input_ids,max_new_tokens=512,pad_token_id=tokenizer.eos_token_id,top_k=50, do_sample=True,repetition_penalty=1.3
        top_p=0.95,trust_remote_code=True,)
response = tokenizer.decode(output[0])

print(response)