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1models:
2 - model: google/gemma-2-2b
3 # No parameters necessary for base model
4 - model: google/gemma-2-2b-it
5 parameters:
6 density: 0.55
7 weight: 0.6
8 - model: Kukedlc/Gemma-2-2B-Spanish-1.0
9 parameters:
10 density: 0.55
11 weight: 0.4
12merge_method: dare_ties
13base_model: google/gemma-2-2b
14parameters:
15 int8_mask: true
16dtype: float161!pip install -qU transformers accelerate
2
3from transformers import AutoTokenizer
4import transformers
5import torch
6
7model = "Kukedlc/NeuralGemma2-2b-Spanish"
8messages = [{"role": "user", "content": "Pueden las maquinas pensar?"}]
9
10tokenizer = AutoTokenizer.from_pretrained(model)
11prompt = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
12pipeline = transformers.pipeline(
13 "text-generation",
14 model=model,
15 torch_dtype=torch.float16,
16 device_map="auto",
17)
18
19outputs = pipeline(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)
20print(outputs[0]["generated_text"])