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---
base_model: SvalTek/Qwen3-ColdBrew-14B
tags:
- merge
- lazymergekit
---
# 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"])
``` |