初始化项目,由ModelHub XC社区提供模型
Model: Cartinoe5930/SOLAR-DUS-implement Source: Original Platform
This commit is contained in:
63
README.md
Normal file
63
README.md
Normal file
@@ -0,0 +1,63 @@
|
||||
---
|
||||
license: apache-2.0
|
||||
tags:
|
||||
- merge
|
||||
- mergekit
|
||||
- lazymergekit
|
||||
- Cartinoe5930/Llama2_init_Mistral
|
||||
- Cartinoe5930/Llama2_init_Mistral
|
||||
---
|
||||
|
||||
# SOLAR-DUS-implement
|
||||
|
||||
SOLAR-DUS-implement is a merge of the following model using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
|
||||
* [Cartinoe5930/Llama2_init_Mistral](https://huggingface.co/Cartinoe5930/Llama2_init_Mistral)
|
||||
|
||||
For more detailed information, please refer to GitHub Repository.
|
||||
|
||||
GitHub Repository: https://github.com/gauss5930/iDUS
|
||||
|
||||
## 🧩 Configuration
|
||||
|
||||
```yaml
|
||||
slices:
|
||||
- sources:
|
||||
- model: Cartinoe5930/Llama2_init_Mistral
|
||||
layer_range: [0, 24]
|
||||
- sources:
|
||||
- model: Cartinoe5930/Llama2_init_Mistral
|
||||
layer_range: [8, 32]
|
||||
merge_method: passthrough
|
||||
dtype: float16
|
||||
```
|
||||
|
||||
## 🏆 HuggingFace Open LLM Leaderboard
|
||||
|
||||
|Model|ARC|HellaSwag|MMLU|TruthfulQA|Winogrande|GSM8K|Average|
|
||||
|---|---|---|---|---|---|---|---|
|
||||
|SOLAR-10.7B-DUS-Implementation|59.56|81.18|63.68|40.72|76.48|26.99|58.1|
|
||||
|
||||
## 💻 Usage
|
||||
|
||||
```python
|
||||
!pip install -qU transformers accelerate
|
||||
|
||||
from transformers import AutoTokenizer
|
||||
import transformers
|
||||
import torch
|
||||
|
||||
model = "Cartinoe5930/SOLAR-DUS-implement"
|
||||
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"])
|
||||
```
|
||||
Reference in New Issue
Block a user