metadata

base_model: Severian/ANIMA-Phi-Neptune-Mistral-7B
license: artistic-2.0
datasets:
  - Severian/Biomimicry
  - emrgnt-cmplxty/sciphi-textbooks-are-all-you-need
  - fmars/wiki_stem
  - fblgit/tree-of-knowledge
  - Severian/Bio-Design-Process
model-index:
  - name: wasm-ANIMA-Phi-Neptune-Mistral-7B-q4f32_1
    results: []
model_name: WASM ANIMA Phi Neptune Mistral 7B
model_type: mistral
prompt_template: >-
  <|im_start|>system You are Dolphin, a helpful AI assistant.<|im_end|>
  <|im_start|>user {prompt}<|im_end|> <|im_start|>assistant

Dolphin 2.2.1 (Finetune of Mistral 7B) compiled for WebGPU - q4f32_1

Original model: ANIMA-Phi-Neptune-Mistral-7B: Biomimicry Enhanced LLM
creator: Severian: https://github.com/Severian42
compiled by: Hrishi Olickel: say hi on Twitter!

Description

This is a quantized version of Anima Phi Neptune Mistral 7B:

Overview

ANIMA (Advanced Nature Inspired Multidisciplinary Assistant) is an expert in various scientific disciplines, including but not limited to biomimicry, biology, and environmental science.

Instagram: @anima_llm

Model Description

ANIMA is fine-tuned on a rich dataset encompassing:

4,000+ Nature-Biomimicry examples
60k Biomimicry Design Process examples
600k STEM facts from Wikipedia
Science/Philosophy focused 'All-You-Need-Is-Textbooks' dataset
Additional Tree of Knowledge + Biomimicry data combined fine-tuning

The model aims to assist users in solving problems using nature-inspired strategies and concepts.

Compiled with mlc-llm.

Very helpful direction provided by felladrin!

You can use his example to get quickly started with this model.

Prompt template: Llama-2

Prompt format: This model (and all my future releases) use ChatML prompt format.

[INST] How can biomimicry help in water purification? [/INST]