---
tags:
- merge
- mergekit
- lazymergekit
- hfl/llama-3-chinese-8b-instruct-v2
- NousResearch/Hermes-2-Theta-Llama-3-8B
base_model:
- hfl/llama-3-chinese-8b-instruct-v2
- NousResearch/Hermes-2-Theta-Llama-3-8B
- hfl/llama-3-chinese-8b-instruct-v2
- NousResearch/Hermes-2-Theta-Llama-3-8B
- hfl/llama-3-chinese-8b-instruct-v2
---
#该模型是实验性的，因此无法保证结果。
# 骆驼3-15B-羚杨-v0.1
Llama3-15B-lingyang-v0.1 是使用 LazyMergekit 合并以下模型：

hfl/llama-3-中文-8b-instruct-v2 NousResearch/Hermes-2-θ-骆驼-3-8B

## 💻 Usage

```python
!pip install -qU transformers accelerate

from transformers import AutoTokenizer
import transformers
import torch

model = "wwe180/Llama3-15B-lingyang-v0.1"
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"])
```