automerger
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Browse files- README.md +34 -21
- config.json +1 -1
- mergekit_config.yml +0 -1
- model-00001-of-00002.safetensors +1 -1
- model-00002-of-00002.safetensors +1 -1
- model.safetensors.index.json +1 -1
README.md
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---
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- MSL7/INEX12-7b
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- yam-peleg/Experiment26-7B
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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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The following models were included in the merge:
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* [yam-peleg/Experiment26-7B](https://huggingface.co/yam-peleg/Experiment26-7B)
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The following YAML configuration was used to produce this model:
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```yaml
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models:
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- model: MSL7/INEX12-7b
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# No parameters necessary for base model
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int8_mask: true
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dtype: bfloat16
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random_seed: 0
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```
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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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- automerger
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base_model:
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- yam-peleg/Experiment26-7B
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# Inex12Experiment26-7B
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Inex12Experiment26-7B is an automated merge created by [Maxime Labonne](https://huggingface.co/mlabonne) using the following configuration.
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* [yam-peleg/Experiment26-7B](https://huggingface.co/yam-peleg/Experiment26-7B)
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## 🧩 Configuration
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```yaml
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models:
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- model: MSL7/INEX12-7b
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# No parameters necessary for base model
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int8_mask: true
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dtype: bfloat16
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random_seed: 0
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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 = "automerger/Inex12Experiment26-7B"
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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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config.json
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"sliding_window": 4096,
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"tie_word_embeddings": false,
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"torch_dtype": "bfloat16",
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"transformers_version": "4.
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"use_cache": true,
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"vocab_size": 32000
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}
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"sliding_window": 4096,
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"tie_word_embeddings": false,
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"torch_dtype": "bfloat16",
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"transformers_version": "4.39.1",
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"use_cache": true,
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"vocab_size": 32000
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}
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mergekit_config.yml
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int8_mask: true
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dtype: bfloat16
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random_seed: 0
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int8_mask: true
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dtype: bfloat16
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random_seed: 0
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