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--- |
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license: apache-2.0 |
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tags: |
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- merge |
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- mergekit |
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- mistral |
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- 7b |
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- lazymergekit |
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- mistralai/Mistral-7B-Instruct-v0.2 |
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- CobraMamba/mamba-gpt-7b-v1 |
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--- |
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# mamba-gpt-7b-v1-Mistral-7B-Instruct-v0.2-slerp |
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mamba-gpt-7b-v1-Mistral-7B-Instruct-v0.2-slerp is a merge of the following models: |
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* [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2) |
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* [CobraMamba/mamba-gpt-7b-v1](https://huggingface.co/CobraMamba/mamba-gpt-7b-v1) |
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## 🧩 Configuration |
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```yaml |
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slices: |
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- sources: |
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- model: mistralai/Mistral-7B-Instruct-v0.2 |
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layer_range: [0, 32] |
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- model: CobraMamba/mamba-gpt-7b-v1 |
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layer_range: [0, 32] |
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merge_method: slerp |
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base_model: mistralai/Mistral-7B-Instruct-v0.2 |
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parameters: |
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t: |
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- filter: self_attn |
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value: [0, 0.5, 0.3, 0.7, 1] |
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- filter: mlp |
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value: [1, 0.5, 0.7, 0.3, 0] |
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- value: 0.5 |
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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 = "MaziyarPanahi/mamba-gpt-7b-v1-Mistral-7B-Instruct-v0.2-slerp" |
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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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``` |
