ray0rf1re/HyperNix_Custom_Chat_SFT-v1

HyperNix Custom Chat SFT

An original, small supervised fine-tuning dataset for conversational behavior in the HyperNix ecosystem.

Contents

• train.jsonl: 85 training conversations
• validation.jsonl: 12 validation conversations

Each JSONL row contains:

• messages: a chat conversation using system, user, and assistant roles
• category: a broad behavior/topic label
• source: hypernix-original

Intended coverage

• HyperNix identity, scope, and honest capability statements
• ML fundamentals and small-model fine-tuning
• Dataset curation and evaluation
• General conversational behavior
• Linux troubleshooting and safe terminal practices
• Python and software development
• Model-training troubleshooting
• Reliability, uncertainty, and planning

Important limitations

This is a starter dataset, not a complete instruction-tuning corpus. It contains 97 original examples and should be mixed with carefully filtered, properly licensed external data if broader coverage is required. It does not teach deep factual knowledge about private HyperNix repositories. Repository-specific facts should be added only after verification against current project documentation.

The examples are authored for this dataset. They have not been independently human-reviewed or benchmarked. Inspect them before production training.

Training notes

Use the chat template expected by the base model and training framework. Do not assume that the literal system message should be included if the model's training recipe uses a different convention. Keep validation data out of training. For a model with a short context window, check tokenized lengths with the exact tokenizer before training.

License

CC BY 4.0. Attribution: HyperNix Custom Chat SFT contributors.