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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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- frankenmoe |
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- merge |
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- mergekit |
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- lazymergekit |
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- Locutusque/TinyMistral-248M-v2.5-Instruct |
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- Locutusque/TinyMistral-248M-v2.5-Instruct |
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- Locutusque/TinyMistral-248M-v2-Instruct |
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- Locutusque/TinyMistral-248M-Instruct |
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base_model: |
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- Locutusque/TinyMistral-248M-v2.5-Instruct |
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- Locutusque/TinyMistral-248M-v2.5-Instruct |
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- Locutusque/TinyMistral-248M-v2-Instruct |
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- Locutusque/TinyMistral-248M-Instruct |
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--- |
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# TinyMistral-248m-v2.5-4x-Moe |
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TinyMistral-248m-v2.5-4x-Moe is a Mixure of Experts (MoE) made with the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing): |
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* [Locutusque/TinyMistral-248M-v2.5-Instruct](https://huggingface.co/Locutusque/TinyMistral-248M-v2.5-Instruct) |
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* [Locutusque/TinyMistral-248M-v2.5-Instruct](https://huggingface.co/Locutusque/TinyMistral-248M-v2.5-Instruct) |
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* [Locutusque/TinyMistral-248M-v2-Instruct](https://huggingface.co/Locutusque/TinyMistral-248M-v2-Instruct) |
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* [Locutusque/TinyMistral-248M-Instruct](https://huggingface.co/Locutusque/TinyMistral-248M-Instruct) |
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## 🧩 Configuration |
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```yaml |
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base_model: Locutusque/TinyMistral-248M-v2.5 |
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experts: |
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- source_model: Locutusque/TinyMistral-248M-v2.5-Instruct |
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positive_prompts: |
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- "Help me debug this code." |
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- "Optimize this C# script." |
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- "Implement this feature using JavaScript." |
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- "Convert this HTML structure into a more efficient design." |
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- "Assist me with writing a program that" |
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negative_prompts: |
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- "How do you" |
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- "Explain the concept of" |
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- "Give an overview of" |
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- "Compare and contrast between" |
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- "Provide information about" |
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- "Help me understand" |
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- "Summarize" |
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- "Make a recommendation on" |
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- "Answer this question" |
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- source_model: Locutusque/TinyMistral-248M-v2.5-Instruct |
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positive_prompts: |
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- "How do you" |
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- "Explain the concept of" |
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- "Give an overview of" |
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- "Compare and contrast between" |
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- "Provide information about" |
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- "Help me understand" |
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- "Summarize" |
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- "Make a recommendation on" |
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- "Answer this question" |
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negative_prompts: |
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- "Help me debug this code." |
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- "Optimize this C# script." |
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- "Implement this feature using JavaScript." |
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- "Convert this HTML structure into a more efficient design." |
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- "Assist me with writing a program that" |
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- source_model: Locutusque/TinyMistral-248M-v2-Instruct |
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positive_prompts: |
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- "How do I incorporate visual elements into my writing?" |
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negative_prompts: |
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- "Help me debug this code." |
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- "Optimize this C# script." |
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- "Implement this feature using JavaScript." |
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- "Convert this HTML structure into a more efficient design." |
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- "Help me debug this code." |
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- "Optimize this C# script." |
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- "Implement this feature using JavaScript." |
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- "Convert this HTML structure into a more efficient design." |
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- "Compare and contrast between" |
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- "Provide information about" |
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- "Help me understand" |
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- "Summarize" |
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- "Make a recommendation on" |
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- "Answer this question" |
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- source_model: Locutusque/TinyMistral-248M-Instruct |
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positive_prompts: |
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- "Craft me a list of some nice places to visit around the world. " |
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- "Write me a story" |
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- "Write me an essay" |
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negative_prompts: |
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- "Help me debug this code." |
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- "Optimize this C# script." |
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- "Implement this feature using JavaScript." |
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- "Convert this HTML structure into a more efficient design." |
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- "Help me debug this code." |
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- "Optimize this C# script." |
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- "Implement this feature using JavaScript." |
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- "Convert this HTML structure into a more efficient design." |
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- "Compare and contrast between" |
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- "Provide information about" |
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- "Help me understand" |
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- "Summarize" |
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- "Make a recommendation on" |
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- "Answer this question" |
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gate_mode: hidden |
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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 = "jtatman/TinyMistral-248m-v2.5-4x-Moe" |
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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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``` |
