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1dtype: bfloat16
2experts:
3- positive_prompts:
4 - arabic
5 - arab
6 - arabia
7 - answer in arabic
8 source_model: gagan3012/Mistral_arabic_dpo
9- positive_prompts:
10 - korean
11 - answer in korean
12 - korea
13 source_model: davidkim205/komt-mistral-7b-v1
14- positive_prompts:
15 - chinese
16 - china
17 - answer in chinese
18 source_model: OpenBuddy/openbuddy-zephyr-7b-v14.1
19- positive_prompts:
20 - hindi
21 - india
22 - hindu
23 - answer in hindi
24 source_model: manishiitg/open-aditi-hi-v1
25gate_mode: hidden1!pip install -qU transformers bitsandbytes accelerate
2
3from transformers import AutoTokenizer
4import transformers
5import torch
6
7model = "gagan3012/Multilingual-mistral-asian"
8
9tokenizer = AutoTokenizer.from_pretrained(model)
10pipeline = transformers.pipeline(
11 "text-generation",
12 model=model,
13 model_kwargs={"torch_dtype": torch.float16, "load_in_4bit": True},
14)
15
16messages = [{"role": "user", "content": "Explain what a Mixture of Experts is in less than 100 words."}]
17prompt = pipeline.tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
18outputs = pipeline(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)
19print(outputs[0]["generated_text"])