Qwen3-CB14B

Qwen3-CB14B

🧩 Configuration

name: Qwen3-CB14B

models:
  - model: ReadyArt/The-Omega-Directive-Qwen3-14B-v1.1+SvalTek/Qwen3-CB14B_Lora

merge_method: passthrough
dtype: bfloat16
normalize: true
int8_mask: true

💻 Usage

!pip install -qU transformers accelerate

from transformers import AutoTokenizer
import transformers
import torch

model = "SvalTek/Qwen3-CB14B"
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"])