Text Generation
MLX
English
mixtral
climate change
biomimicry
theoretical astrobiology
environmental simulations
predictive modeling
life origins
ecological impacts
sustainable technologies
cross-disciplinary learning
artificial intelligence
machine learning
data integration
complex systems
scenario analysis
speculative science
universe exploration
biodiversity
planetary studies
innovation in science
role playing scenarios
conversational
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README.md
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@@ -56,6 +56,7 @@ The model was trained on a subset of the I.M.P.A.C.T. dataset, utilizing 35,000
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- **Type:** Llama-3
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- **Parameters:** 8 billion
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- **Training Epochs:** 1 (35K Examples)
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- **Context Limit:** 64K
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- **Type:** Llama-3
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- **Parameters:** 8 billion
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- **MoE:** 2 Experts
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- **Training Epochs:** 1 (35K Examples)
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- **Context Limit:** 64K
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