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SvalTek/
Q2.5-ColdBrew-RxB

Name: Q2.5-ColdBrew-RxB
Rating: 2.5 (5 reviews)

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Q2.5-ColdBrew-RxB

🧩 Configuration

yaml

name: Q2.5-ColdBrew-RxB

base_model: SvalTek/Q2.5-ColdBrew-R1-Indigo
models:
  - model: SvalTek/Q2.5-ColdBrew-R1-Aspera
  - model: SvalTek/Qwen2.5-ColdBrew-Apartide
  - model: Theros/Q2.5-ColdBrew-R1-Atrax

merge_method: sce
tokenizer_source: SvalTek/Q2.5-ColdBrew-R1-Indigo
parameters:
  select_topk: 1.5

dtype: bfloat16
normalize: true
int8_mask: true

💻 Usage

python

!pip install -qU transformers accelerate

from transformers import AutoTokenizer
import transformers
import torch

model = "SvalTek/Q2.5-ColdBrew-RxB"
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"])