69 lines
2.6 KiB
Markdown
69 lines
2.6 KiB
Markdown
---
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license: cc-by-nc-4.0
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tags:
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- merge
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- mergekit
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- lazymergekit
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base_model:
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- liminerity/M7-7b
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- rwitz/experiment26-truthy-iter-0
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---
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# Zebrafish-7B
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Zebrafish-7B is my first model using the new merge method called [Model Stock](https://arxiv.org/abs/2403.19522).
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Zebrafish-7B is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
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* [liminerity/M7-7b](https://huggingface.co/liminerity/M7-7b)
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* [rwitz/experiment26-truthy-iter-0](https://huggingface.co/rwitz/experiment26-truthy-iter-0)
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Special thanks to Charles Goddard for the quick implementation!
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## 🏆 Evaluation
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### Nous
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| Model | Average | AGIEval | GPT4All | TruthfulQA | Bigbench |
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|---|---:|---:|---:|---:|---:|
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| [mlabonne/AlphaMonarch-7B](https://huggingface.co/mlabonne/AlphaMonarch-7B) [📄](https://gist.github.com/mlabonne/1d33c86824b3a11d2308e36db1ba41c1) | 62.74 | 45.37 | 77.01 | 78.39 | 50.2 |
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| [**mlabonne/Zebrafish-7B**](https://huggingface.co/mlabonne/Zebrafish-7B) [📄](https://gist.github.com/mlabonne/719d5e106eefbcffb951b65616dcbec4) | **62.41** | **44.92** | **77.18** | **78.25** | **49.28** |
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| [mlabonne/Beyonder-4x7B-v3](https://huggingface.co/mlabonne/Beyonder-4x7B-v3) [📄](https://gist.github.com/mlabonne/3740020807e559f7057c32e85ce42d92) | 61.91 | 45.85 | 76.67 | 74.98 | 50.12 |
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| [mlabonne/NeuralBeagle14-7B](https://huggingface.co/mlabonne/NeuralBeagle14-7B) [📄](https://gist.github.com/mlabonne/ad0c665bbe581c8420136c3b52b3c15c) | 60.25 | 46.06 | 76.77 | 70.32 | 47.86 |
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| [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2) [📄](https://gist.github.com/mlabonne/05d358e17dffdf9eee7c2322380c9da6) | 54.81 | 38.5 | 71.64 | 66.82 | 42.29 |
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## 🧩 Configuration
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```yaml
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models:
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- model: mistralai/Mistral-7B-v0.1
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- model: liminerity/M7-7b
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- model: rwitz/experiment26-truthy-iter-0
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merge_method: model_stock
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base_model: mistralai/Mistral-7B-v0.1
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dtype: bfloat16
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```
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## 💻 Usage
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```python
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!pip install -qU transformers accelerate
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from transformers import AutoTokenizer
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import transformers
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import torch
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model = "mlabonne/Zebrafish-7B"
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messages = [{"role": "user", "content": "What is a large language model?"}]
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tokenizer = AutoTokenizer.from_pretrained(model)
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prompt = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
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pipeline = transformers.pipeline(
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"text-generation",
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model=model,
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torch_dtype=torch.float16,
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device_map="auto",
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)
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outputs = pipeline(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)
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print(outputs[0]["generated_text"])
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``` |