jefferylovely
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Browse files- README.md +6 -6
- mergekit_config.yml +1 -1
- model-00001-of-00002.safetensors +1 -1
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README.md
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- mergekit
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- lazymergekit
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- jefferylovely/SuperThetaMaven
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---
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# jefferylovely/AiMaven-
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jefferylovely/AiMaven-
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* [jefferylovely/SuperThetaMaven](https://huggingface.co/jefferylovely/SuperThetaMaven)
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* [
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## 🧩 Configuration
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- sources:
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- model: jefferylovely/SuperThetaMaven
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layer_range: [0, 32]
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- model:
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layer_range: [0, 32]
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merge_method: slerp
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base_model: jefferylovely/SuperThetaMaven
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import transformers
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import torch
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model = "jefferylovely/jefferylovely/AiMaven-
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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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- mergekit
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- lazymergekit
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- jefferylovely/SuperThetaMaven
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- vanillaOVO/supermario_v4
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---
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# jefferylovely/AiMaven-Theta
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jefferylovely/AiMaven-Theta is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
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* [jefferylovely/SuperThetaMaven](https://huggingface.co/jefferylovely/SuperThetaMaven)
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* [vanillaOVO/supermario_v4](https://huggingface.co/vanillaOVO/supermario_v4)
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## 🧩 Configuration
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- sources:
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- model: jefferylovely/SuperThetaMaven
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layer_range: [0, 32]
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- model: vanillaOVO/supermario_v4
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layer_range: [0, 32]
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merge_method: slerp
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base_model: jefferylovely/SuperThetaMaven
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import transformers
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import torch
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model = "jefferylovely/jefferylovely/AiMaven-Theta"
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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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mergekit_config.yml
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- sources:
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- model: jefferylovely/SuperThetaMaven
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layer_range: [0, 32]
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- model:
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layer_range: [0, 32]
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merge_method: slerp
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base_model: jefferylovely/SuperThetaMaven
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- sources:
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- model: jefferylovely/SuperThetaMaven
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layer_range: [0, 32]
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- model: vanillaOVO/supermario_v4
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layer_range: [0, 32]
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merge_method: slerp
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base_model: jefferylovely/SuperThetaMaven
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model-00001-of-00002.safetensors
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model-00002-of-00002.safetensors
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