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--- |
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tags: |
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- merge |
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- mergekit |
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- louisbrulenaudet/Pearl-7B-slerp |
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- WizardLM/WizardMath-7B-V1.1 |
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- cognitivecomputations/WestLake-7B-v2-laser |
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- CultriX/NeuralTrix-7B-dpo |
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base_model: |
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- louisbrulenaudet/Pearl-7B-slerp |
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- WizardLM/WizardMath-7B-V1.1 |
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- cognitivecomputations/WestLake-7B-v2-laser |
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- CultriX/NeuralTrix-7B-dpo |
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license: apache-2.0 |
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language: |
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- en |
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library_name: transformers |
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--- |
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# Pearl-7B-0210-ties |
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Pearl-7B-0210-ties is a merge of the following models: |
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* [louisbrulenaudet/Pearl-7B-slerp](https://huggingface.co/louisbrulenaudet/Pearl-7B-slerp) |
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* [WizardLM/WizardMath-7B-V1.1](https://huggingface.co/WizardLM/WizardMath-7B-V1.1) |
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* [cognitivecomputations/WestLake-7B-v2-laser](https://huggingface.co/cognitivecomputations/WestLake-7B-v2-laser) |
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* [CultriX/NeuralTrix-7B-dpo](https://huggingface.co/CultriX/NeuralTrix-7B-dpo) |
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## Configuration |
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```yaml |
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models: |
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- model: OpenPipe/mistral-ft-optimized-1227 |
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- model: louisbrulenaudet/Pearl-7B-slerp |
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parameters: |
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density: 0.5 |
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weight: 0.4 |
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- model: WizardLM/WizardMath-7B-V1.1 |
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parameters: |
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density: 0.5 |
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weight: 0.2 |
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- model: cognitivecomputations/WestLake-7B-v2-laser |
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parameters: |
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density: 0.5 |
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weight: 0.2 |
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- model: CultriX/NeuralTrix-7B-dpo |
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parameters: |
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density: 0.5 |
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weight: 0.2 |
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merge_method: ties |
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base_model: OpenPipe/mistral-ft-optimized-1227 |
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parameters: |
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normalize: true |
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int8_mask: true |
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dtype: float16 |
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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 = "louisbrulenaudet/Pearl-7B-0210-ties" |
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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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``` |