Newton-Insights-V1-cannabis-extraction-science-gguf/README.md

license, tags, language, base_model

license	tags	language	base_model
apache-2.0	gguf llama.cpp cannabis science text-generation local-inference domain-specific chemistry biology medical	en	KellanF89/Newton-Insights-V1-cannabis-extraction-science

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.

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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

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Available Quantizations

File	Quant	Size	Notes
Newton-Insights-V1-cannabis-extraction-science-q4_k_m.gguf	Q4_K_M	~4-5 GB	Good balance, lower VRAM
Newton-Insights-V1-cannabis-extraction-science-q5_k_m.gguf	Q5_K_M	~5-6 GB	Recommended
Newton-Insights-V1-cannabis-extraction-science-q6_k.gguf	Q6_K	~6-7 GB	Higher quality
Newton-Insights-V1-cannabis-extraction-science-f16.gguf	F16	~16 GB	Full precision

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

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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).

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How to Use

llama.cpp

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