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- .gitattributes +35 -0
- .gitignore +1 -0
- ANIMA-Phi-Neptune-Mistral-7B-q4f32_1-webgpu.wasm +3 -0
- README.md +68 -0
- params/added_tokens.json +5 -0
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.gitignore
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mod_cache_before_build.pkl
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ANIMA-Phi-Neptune-Mistral-7B-q4f32_1-webgpu.wasm
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README.md
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---
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base_model: Severian/ANIMA-Phi-Neptune-Mistral-7B
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license: artistic-2.0
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datasets:
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- Severian/Biomimicry
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- emrgnt-cmplxty/sciphi-textbooks-are-all-you-need
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- fmars/wiki_stem
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- fblgit/tree-of-knowledge
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- Severian/Bio-Design-Process
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model-index:
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- name: wasm-ANIMA-Phi-Neptune-Mistral-7B-q4f32_1
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results: []
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model_name: WASM ANIMA Phi Neptune Mistral 7B
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model_type: mistral
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prompt_template: '<|im_start|>system
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You are Dolphin, a helpful AI assistant.<|im_end|>
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<|im_start|>user
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{prompt}<|im_end|>
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<|im_start|>assistant'
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---
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# Dolphin 2.2.1 (Finetune of Mistral 7B) compiled for WebGPU - q4f32_1
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- Original model: [ANIMA-Phi-Neptune-Mistral-7B: Biomimicry Enhanced LLM](https://huggingface.co/Severian/ANIMA-Phi-Neptune-Mistral-7B)
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- creator: Severian: [https://github.com/Severian42](https://github.com/Severian42)
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- compiled by: Hrishi Olickel: [say hi on Twitter!](https://twitter.com/hrishioa)
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## Description
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This is a quantized version of Anima Phi Neptune Mistral 7B:
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<img src="https://cdn-uploads.huggingface.co/production/uploads/64740cf7485a7c8e1bd51ac9/JZH6p50t_j3-OUph4Wq6y.png" width="500">
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### Overview
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**ANIMA** (Advanced Nature Inspired Multidisciplinary Assistant) is an expert in various scientific disciplines, including but not limited to biomimicry, biology, and environmental science.
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**Instagram: [@anima_llm](https://www.instagram.com/anima_llm)**
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---
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### Model Description
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ANIMA is fine-tuned on a rich dataset encompassing:
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- 4,000+ Nature-Biomimicry examples
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- 60k Biomimicry Design Process examples
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- 600k STEM facts from Wikipedia
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- Science/Philosophy focused 'All-You-Need-Is-Textbooks' dataset
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- Additional Tree of Knowledge + Biomimicry data combined fine-tuning
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The model aims to assist users in solving problems using nature-inspired strategies and concepts.
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Compiled with [mlc-llm](https://llm.mlc.ai/).
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Very helpful direction provided by [felladrin](https://github.com/felladrin)!
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You can use [his example](https://huggingface.co/spaces/Felladrin/Web-LLM-Mistral-7B-OpenOrca) to get quickly started with this model.
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## Prompt template: Llama-2
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Prompt format:
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This model (and all my future releases) use [ChatML](https://github.com/openai/openai-python/blob/main/chatml.md) prompt format.
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```
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[INST] How can biomimicry help in water purification? [/INST]
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```
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params/added_tokens.json
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}
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{
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"model_lib": "ANIMA-Phi-Neptune-Mistral-7B-q4f32_1",
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"local_id": "ANIMA-Phi-Neptune-Mistral-7B-q4f32_1",
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"conv_template": "llama-2",
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"temperature": 0.7,
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"num_shards": 1,
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"tokenizer_files": [
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"added_tokens.json",
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],
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"model_category": "mistral",
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"model_name": "ANIMA-Phi-Neptune-Mistral-7B",
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"vocab_size": 32000
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}
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