ewald1976/Newton-Insights-V1-cannabis-extraction-science-gguf

Note on source files

This GGUF was built from the granite-science-merged files included in the original repository.

Newton Insights V1 – Cannabis Extraction Science (GGUF)

Model Description

GGUF quantized version for local inference (llama.cpp, LM Studio CLI)

This is a GGUF quantized version of: KellanF89/Newton-Insights-V1-cannabis-extraction-science

The model is a domain-specific language model trained on cannabis science literature, focusing on:

• —extraction techniques
• —terpene and cannabinoid chemistry
• —pharmacology
• —cultivation

This version was converted and quantized for local inference using llama.cpp-compatible runtimes.

Model Details

• —Developed by: Kellan Finney / Eighth Revolution (original model)
• —Model type: Causal Language Model (fine-tuned)
• —Language: English
• —License: Apache 2.0
• —Finetuned from: IBM Granite 3.0 8B Instruct

Available Quantizations

Uses

Direct Use

• —Domain-specific Q&A about cannabis science
• —Educational and research purposes
• —Local inference setups (offline AI, homelab, experimentation)

Out-of-Scope Use

• —Medical advice or treatment recommendations
• —Legal interpretation
• —Safety-critical decisions

Limitations

• —The model may reflect inconsistencies in cannabis terminology (e.g., sativa vs. indica classification).
• —Not all responses are guaranteed to be scientifically accurate despite domain fine-tuning.
• —Performance may vary depending on prompt formatting and frontend compatibility (Granite-based models use non-standard chat templates).

How to Use

llama.cpp

./main -m ewald1976/Newton-Insights-V1-cannabis-extraction-science-Q5_K_M.gguf -p "Explain terpene preservation in extraction"