automerger
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Browse files- README.md +24 -37
- mergekit_config.yml +1 -1
- model-00001-of-00002.safetensors +1 -1
- model-00002-of-00002.safetensors +1 -1
README.md
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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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- lazymergekit
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base_model:
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- mayacinka/yam-jom-7B-slerp
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---
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* [mayacinka/yam-jom-7B-slerp](https://huggingface.co/mayacinka/yam-jom-7B-slerp)
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* [mayacinka/yam-jom-7B-ties](https://huggingface.co/mayacinka/yam-jom-7B-ties)
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```yaml
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slices:
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- sources:
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- model: mayacinka/yam-jom-7B-slerp
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layer_range: [0, 32]
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- model: mayacinka/yam-jom-7B
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layer_range: [0, 32]
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merge_method: slerp
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base_model: mayacinka/yam-jom-7B-slerp
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- value: 0.5
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dtype: bfloat16
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random_seed: 0
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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 = "automerger/YamYam-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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```
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---
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base_model:
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- mayacinka/yam-jom-7B
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- mayacinka/yam-jom-7B-slerp
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library_name: transformers
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tags:
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- mergekit
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- merge
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---
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# merge
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This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
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## Merge Details
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### Merge Method
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This model was merged using the SLERP merge method.
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### Models Merged
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The following models were included in the merge:
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* [mayacinka/yam-jom-7B](https://huggingface.co/mayacinka/yam-jom-7B)
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* [mayacinka/yam-jom-7B-slerp](https://huggingface.co/mayacinka/yam-jom-7B-slerp)
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### Configuration
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The following YAML configuration was used to produce this model:
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```yaml
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slices:
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- sources:
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- model: mayacinka/yam-jom-7B-slerp
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layer_range: [0, 32]
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- model: mayacinka/yam-jom-7B
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layer_range: [0, 32]
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merge_method: slerp
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base_model: mayacinka/yam-jom-7B-slerp
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- value: 0.5
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dtype: bfloat16
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random_seed: 0
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```
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mergekit_config.yml
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- sources:
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- model: mayacinka/yam-jom-7B-slerp
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layer_range: [0, 32]
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- model: mayacinka/yam-jom-7B
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layer_range: [0, 32]
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merge_method: slerp
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base_model: mayacinka/yam-jom-7B-slerp
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- sources:
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- model: mayacinka/yam-jom-7B-slerp
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layer_range: [0, 32]
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- model: mayacinka/yam-jom-7B
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layer_range: [0, 32]
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merge_method: slerp
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base_model: mayacinka/yam-jom-7B-slerp
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model-00001-of-00002.safetensors
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model-00002-of-00002.safetensors
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