README.md

---
base_model:
- SeaLLMs/SeaLLMs-v3-7B-Chat
- SeaLLMs/SeaLLMs-v3-7B-Chat
tags:
- merge
- mergekit
- SeaLLMs/SeaLLMs-v3-7B-Chat
---

# StockSeaLLMs-7B-v1

StockSeaLLMs-7B-v1 is a merge of the following models:
* [SeaLLMs/SeaLLMs-v3-7B-Chat](https://huggingface.co/SeaLLMs/SeaLLMs-v3-7B-Chat)
* [SeaLLMs/SeaLLMs-v3-7B-Chat](https://huggingface.co/SeaLLMs/SeaLLMs-v3-7B-Chat)

## 🧩 Configuration

```yaml
models:
  - model: SeaLLMs/SeaLLMs-v3-7B-Chat
    parameters:
      weight: 1
      density: 1
  - model: SeaLLMs/SeaLLMs-v3-7B-Chat
    parameters:
      weight: 1
      density: 1
merge_method: ties
base_model: Locutusque/StockQwen-2.5-7B
parameters:
  density: 1
  normalize: true
  int8_mask: true
dtype: bfloat16
```

## 💻 Usage

```python
!pip install -qU transformers accelerate

from transformers import AutoTokenizer
import transformers
import torch

model = "gmonsoon/StockSeaLLMs-7B-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"])
```