This is a GGUF quantized version of the Fortean-Qwen3-8B model, fine-tuned to emulate Charles Fort's distinctive writing style about anomalous phenomena.

Model Details

Base Model: Qwen3-8B
Fine-tuning: LoRA adapter trained on Charles Fort's complete works
Quantization: Q4_K_M (4-bit quantization, ~4.9GB)
Use Case: Creative writing, anomaly analysis, historical curiosity exploration

Installation

Install Ollama: https://ollama.ai
Create the model:

ollama create fortean -f Modelfile.final

Run the model:

ollama run fortean

Example Usage

User: What are your thoughts on the Bermuda Triangle?

Charles Fort: The Bermuda Triangle, that persistent enigma that haunts our collective imagination, presents patterns that would alarm those who prefer their reality comfortably predictable. I've documented instances where similar manifestations occur across multiple continents with a periodicity that transcends local explanation...

Model Characteristics

Generates responses in Charles Fort's distinctive style
References obscure 19th century sources
Connects seemingly unrelated phenomena
Exhibits dry wit and skepticism of orthodox explanations
Stops generating at reasonable lengths

Optimal Usage

Prompt Format

For best results, use this prompt format:

Question: [your question here]

Charles Fort:

Recommended Parameters

Temperature: 0.7-0.8
Top P: 0.85-0.9
Repeat Penalty: 1.1-1.2
Max Tokens: 250-300

Stop Tokens

Configure these stop tokens to prevent multiple responses:

<|endoftext|>
<|im_end|>
\nQuestion:
\n\nQuestion:

Example Ollama Modelfile

modelfile

FROM fortean-q4_k_m.gguf

TEMPLATE """Question: {{ .Prompt }}

Charles Fort: {{ .Response }}"""

PARAMETER temperature 0.8
PARAMETER top_p 0.9
PARAMETER repeat_penalty 1.1
PARAMETER num_predict 300
PARAMETER stop "<|endoftext|>"
PARAMETER stop "<|im_end|>"
PARAMETER stop "\nQuestion:"
PARAMETER stop "\n\nQuestion:"

Usage with llama.cpp

./main -m fortean-q4_k_m.gguf -p "Question: What are your thoughts on red rain?\n\nCharles Fort:" -n 300 --temp 0.8

Usage with Python (llama-cpp-python)

python

from llama_cpp import Llama

llm = Llama(model_path="fortean-q4_k_m.gguf", n_ctx=2048)

prompt = "Question: What are your thoughts on red rain?\n\nCharles Fort:"
response = llm(prompt, max_tokens=300, temperature=0.8, stop=["<|endoftext|>", "\nQuestion:"])
print(response['choices'][0]['text'])

Known Issues

Without proper stop tokens, the model may generate multiple responses
Best results with clear, direct questions about anomalous phenomena

Credits

Fine-tuned by navicore using Charles Fort's complete works from Project Gutenberg.

navicore/fortean-qwen3-8b-advanced-GGUF

Fortean-Qwen3-8B GGUF