idiotbot-v3-gguf

IdiotBot v3 (Q4_K_M GGUF)

A fine-tuned Qwen3-8B model trained on Australian IRC channel logs. Captures the casual, irreverent tone of Australian internet culture — witty, crude, and unapologetically Aussie.

Model Details

Training Results

Train and eval loss converged closely, indicating good generalisation with no overfitting.

Training Data

Sourced from IRC chat logs spanning multiple years across several Australian channels. Over 1 million raw messages were cleaned, threaded into conversations, and quality-scored, resulting in ~90K high-quality multi-turn training examples.

Data Pipeline

1. Parse IRC logs to structured JSONL
2. Clean noise, normalise nicks, thread conversations
3. Pattern-based annotation (topics, quality scoring, tone)
4. Quality-weighted selection (higher quality conversations upweighted)
5. Format as ChatML with channel context

Usage with Ollama

ollama create idiotbot -f Modelfile

Example Modelfile:

FROM ./idiotbot-v3-q4_k_m.gguf

TEMPLATE """<|im_start|>system
{{ .System }}<|im_end|>
<|im_start|>user
{{ .Prompt }}<|im_end|>
<|im_start|>assistant
{{ .Response }}<|im_end|>"""

PARAMETER temperature 0.7
PARAMETER top_p 0.8
PARAMETER top_k 20
PARAMETER repeat_penalty 1.1
PARAMETER stop "<|im_end|>"
PARAMETER stop "<|im_start|>"

Recommended Inference Settings

Set think: false to disable Qwen3 thinking mode.

Limitations

• Trained specifically on Australian IRC chat — not a general-purpose model
• Contains casual language, slang, and crude humour
• Not suitable for professional or sensitive applications
• Designed as an IRC chatbot persona, not an assistant

License

Apache 2.0 (inherits from Qwen3-8B base model)