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ORVEX-Brain-V1

ORVEX-Brain-V1 is a merge of the following models using LazyMergekit:

🧩 Configuration

slices:
  - sources:
      - model: unsloth/Meta-Llama-3.1-8B-Instruct
        layer_range: [0, 24]
  - sources:
      - model: unsloth/Meta-Llama-3.1-8B-Instruct
        layer_range: [8, 32]
merge_method: passthrough
dtype: bfloat16
tokenizer_source: base

💻 Usage

!pip install -qU transformers accelerate

from transformers import AutoTokenizer
import transformers
import torch

model = "Harindu2013/ORVEX-Brain-V1"
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"])