Instructions to use ewald1976/Newton-Insights-V1-cannabis-extraction-science-gguf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use ewald1976/Newton-Insights-V1-cannabis-extraction-science-gguf with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="ewald1976/Newton-Insights-V1-cannabis-extraction-science-gguf",
	filename="Newton-Insights-V1-cannabis-extraction-science-f16.gguf",
)

llm.create_chat_completion(
	messages = [
		{
			"role": "user",
			"content": "What is the capital of France?"
		}
	]
)

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use ewald1976/Newton-Insights-V1-cannabis-extraction-science-gguf with llama.cpp:

Install from brew

brew install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf ewald1976/Newton-Insights-V1-cannabis-extraction-science-gguf:Q4_K_M
# Run inference directly in the terminal:
llama-cli -hf ewald1976/Newton-Insights-V1-cannabis-extraction-science-gguf:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf ewald1976/Newton-Insights-V1-cannabis-extraction-science-gguf:Q4_K_M
# Run inference directly in the terminal:
llama-cli -hf ewald1976/Newton-Insights-V1-cannabis-extraction-science-gguf:Q4_K_M

Use pre-built binary

# Download pre-built binary from:
# https://github.com/ggerganov/llama.cpp/releases
# Start a local OpenAI-compatible server with a web UI:
./llama-server -hf ewald1976/Newton-Insights-V1-cannabis-extraction-science-gguf:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf ewald1976/Newton-Insights-V1-cannabis-extraction-science-gguf:Q4_K_M

Build from source code

git clone https://github.com/ggerganov/llama.cpp.git
cd llama.cpp
cmake -B build
cmake --build build -j --target llama-server llama-cli
# Start a local OpenAI-compatible server with a web UI:
./build/bin/llama-server -hf ewald1976/Newton-Insights-V1-cannabis-extraction-science-gguf:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf ewald1976/Newton-Insights-V1-cannabis-extraction-science-gguf:Q4_K_M

Use Docker

docker model run hf.co/ewald1976/Newton-Insights-V1-cannabis-extraction-science-gguf:Q4_K_M

LM Studio
Jan

vLLM

How to use ewald1976/Newton-Insights-V1-cannabis-extraction-science-gguf with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "ewald1976/Newton-Insights-V1-cannabis-extraction-science-gguf"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "ewald1976/Newton-Insights-V1-cannabis-extraction-science-gguf",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/ewald1976/Newton-Insights-V1-cannabis-extraction-science-gguf:Q4_K_M

Ollama
How to use ewald1976/Newton-Insights-V1-cannabis-extraction-science-gguf with Ollama:
```
ollama run hf.co/ewald1976/Newton-Insights-V1-cannabis-extraction-science-gguf:Q4_K_M
```

Unsloth Studio

How to use ewald1976/Newton-Insights-V1-cannabis-extraction-science-gguf with Unsloth Studio:

Install Unsloth Studio (macOS, Linux, WSL)

curl -fsSL https://unsloth.ai/install.sh | sh
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for ewald1976/Newton-Insights-V1-cannabis-extraction-science-gguf to start chatting

Install Unsloth Studio (Windows)

irm https://unsloth.ai/install.ps1 | iex
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for ewald1976/Newton-Insights-V1-cannabis-extraction-science-gguf to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for ewald1976/Newton-Insights-V1-cannabis-extraction-science-gguf to start chatting

How to use ewald1976/Newton-Insights-V1-cannabis-extraction-science-gguf with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama-server -hf ewald1976/Newton-Insights-V1-cannabis-extraction-science-gguf:Q4_K_M

Configure the model in Pi

# Install Pi:
npm install -g @mariozechner/pi-coding-agent
# Add to ~/.pi/agent/models.json:
{
  "providers": {
    "llama-cpp": {
      "baseUrl": "http://localhost:8080/v1",
      "api": "openai-completions",
      "apiKey": "none",
      "models": [
        {
          "id": "ewald1976/Newton-Insights-V1-cannabis-extraction-science-gguf:Q4_K_M"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Hermes Agent new

How to use ewald1976/Newton-Insights-V1-cannabis-extraction-science-gguf with Hermes Agent:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama-server -hf ewald1976/Newton-Insights-V1-cannabis-extraction-science-gguf:Q4_K_M

Configure Hermes

# Install Hermes:
curl -fsSL https://hermes-agent.nousresearch.com/install.sh | bash
hermes setup
# Point Hermes at the local server:
hermes config set model.provider custom
hermes config set model.base_url http://127.0.0.1:8080/v1
hermes config set model.default ewald1976/Newton-Insights-V1-cannabis-extraction-science-gguf:Q4_K_M

Run Hermes

hermes

Atomic Chat new
Docker Model Runner
How to use ewald1976/Newton-Insights-V1-cannabis-extraction-science-gguf with Docker Model Runner:
```
docker model run hf.co/ewald1976/Newton-Insights-V1-cannabis-extraction-science-gguf:Q4_K_M
```

Lemonade

How to use ewald1976/Newton-Insights-V1-cannabis-extraction-science-gguf with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull ewald1976/Newton-Insights-V1-cannabis-extraction-science-gguf:Q4_K_M

Run and chat with the model

lemonade run user.Newton-Insights-V1-cannabis-extraction-science-gguf-Q4_K_M

List all available models

lemonade list

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

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

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"

Downloads last month: 104

GGUF

Model size

8B params

Architecture

granite

Hardware compatibility

4-bit

5-bit

6-bit

16-bit

Model tree for ewald1976/Newton-Insights-V1-cannabis-extraction-science-gguf

Base model

ibm-granite/granite-3.0-8b-base

Finetuned

ibm-granite/granite-3.0-8b-instruct

Adapter

KellanF89/Newton-Insights-V1-cannabis-extraction-science

Quantized

(1)

this model

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

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Collection

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