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Stellar-Picaro-0.7-12B

Stellar-Picaro-0.7-12B is a merge of the following models using LazyMergekit:

🧩 Configuration

models:
    - model: Trappu/Nemo-Picaro-12B
      parameters:
        density: 0.7
        weight: 0.5
    - model: ProdeusUnity/Stellar-Odyssey-12b-v0.0
      parameters:
        density: 0.3
        weight: 0.5

merge_method: ties
base_model: Trappu/Nemo-Picaro-12B
parameters:
    normalize: true
    int8_mask: true
dtype: bfloat16

πŸ’» Usage

!pip install -qU transformers accelerate

from transformers import AutoTokenizer
import transformers
import torch

model = "Trappu/Stellar-Picaro-0.7-12B"
messages = [{"role": "user", "content": "What is a large language model?"}]

tokenizer = AutoTokenizer.from_pretrained(model)
prompt = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
pipeline = transformers.pipeline(
    "text-generation",
    model=model,
    torch_dtype=torch.float16,
    device_map="auto",
)

outputs = pipeline(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)
print(outputs[0]["generated_text"])
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