Qwen-2.5-base-cyber-7b

Qwen-2.5-base-cyber-7b is a merge of the following models using LazyMergekit:

🧩 Configuration

name: Qwen-2.5-base-cyber-7b
merge_method: sce
parameters:
  select_topk: 0.33
  normalize: true
dtype: float32
out_dtype: bfloat16
base_model: bunnycore/CyberCore-Qwen-2.1-7B
tokenizer:
  source: base
models:
  - model: trollek/Qwen2.5-7B-CySecButler-v0.1
  - model: ClaudioItaly/QwenKing-7
  - model: suayptalha/Rombos-2.5-T.E-8.1
  - model: bunnycore/Qwen-2.5-7B-Deep-Stock-v3
  - model: bunnycore/Qwen2.5-7B-MixStock-Sce-V0.3
  - model: bunnycore/Qwen2.5-7B-RRP-1M-Thinker
  - model: WhiteRabbitNeo/WhiteRabbitNeo-2.5-Qwen-2.5-Coder-7B
  - model: formulae/mita-gen3-v1.2-7b-2-26-2025

💻 Usage

!pip install -qU transformers accelerate

from transformers import AutoTokenizer
import transformers
import torch

model = "Jebadiah/Qwen-2.5-base-cyber-7b"
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"])