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--- |
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license: apache-2.0 |
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tags: |
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- moe |
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- merge |
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- mergekit |
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- lazymergekit |
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- mlabonne/AlphaMonarch-7B |
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- OmnicromsBrain/Eros_Scribe-7b |
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- SanjiWatsuki/Kunoichi-DPO-v2-7B |
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- OmnicromsBrain/NeuralStar_Fusion-7B |
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base_model: |
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- mlabonne/AlphaMonarch-7B |
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- OmnicromsBrain/Eros_Scribe-7b |
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- SanjiWatsuki/Kunoichi-DPO-v2-7B |
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- OmnicromsBrain/NeuralStar_Fusion-7B |
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--- |
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![FusionWriter-7b.png](https://cdn-uploads.huggingface.co/production/uploads/65c70c9e21d80a923d664563/0WNo5m8BWu7lF4YSlMX7K.png) |
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# NeuralStar_FusionWriter_4x7b |
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NeuralStar_FusionWriter_4x7b is a Mixture of Experts (MoE) made with the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing): |
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* [mlabonne/AlphaMonarch-7B](https://huggingface.co/mlabonne/AlphaMonarch-7B) |
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* [OmnicromsBrain/Eros_Scribe-7b](https://huggingface.co/OmnicromsBrain/Eros_Scribe-7b) |
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* [SanjiWatsuki/Kunoichi-DPO-v2-7B](https://huggingface.co/SanjiWatsuki/Kunoichi-DPO-v2-7B) |
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* [OmnicromsBrain/NeuralStar_Fusion-7B](https://huggingface.co/OmnicromsBrain/NeuralStar_Fusion-7B) |
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## ⚡ Quantized Models |
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Special thanks to **MRadermacher** for the **static** and **imatrix** quantized models |
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**.GGUF** https://huggingface.co/mradermacher/NeuralStar_FusionWriter_4x7b-GGUF |
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**IMatrix** https://huggingface.co/mradermacher/NeuralStar_FusionWriter_4x7b-i1-GGUF |
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## 🧩 Configuration |
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```yaml |
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base_model: mlabonne/AlphaMonarch-7B |
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experts: |
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- source_model: mlabonne/AlphaMonarch-7B |
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positive_prompts: |
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- "chat" |
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- "assistant" |
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- "tell me" |
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- "explain" |
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- "ideas" |
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- source_model: OmnicromsBrain/Eros_Scribe-7b |
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positive_prompts: |
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- "adult" |
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- "sex" |
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- "explicit" |
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- "nsfw" |
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- "gory" |
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- source_model: SanjiWatsuki/Kunoichi-DPO-v2-7B |
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positive_prompts: |
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- "story" |
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- "character" |
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- "scene" |
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- "plot" |
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- "editor" |
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- source_model: OmnicromsBrain/NeuralStar_Fusion-7B |
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positive_prompts: |
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- "codex" |
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- "write" |
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- "outline" |
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- "scenebeat" |
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- "prose" |
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``` |
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## 💻 Usage |
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```python |
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!pip install -qU transformers bitsandbytes 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 = "OmnicromsBrain/NeuralStar_FusionWriter_4x7b" |
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tokenizer = AutoTokenizer.from_pretrained(model) |
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pipeline = transformers.pipeline( |
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"text-generation", |
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model=model, |
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model_kwargs={"torch_dtype": torch.float16, "load_in_4bit": True}, |
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) |
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messages = [{"role": "user", "content": "Explain what a Mixture of Experts is in less than 100 words."}] |
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prompt = pipeline.tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True) |
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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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``` |