qwen3-4b-linux-copilot-fresh-v3-lora

Qwen Linux Copilot Fresh V3

Summary

qwen-linux-copilot-fresh-v3 is a LoRA adapter on top of Qwen/Qwen3-4B-Instruct-2507 trained for Linux server troubleshooting and copilot-style assistance. It is the best checkpoint from this training series because it preserved concrete first actions better than later correction passes while staying more grounded than earlier broad runs.

This adapter is intended for:

• Linux troubleshooting assistance
• Copilot-style next-step guidance
• Safe first-action recommendations
• Subsystem-scoped diagnosis for SSH, systemd, nginx, package recovery, storage, databases, containers, and permissions

This adapter is not positioned as a fully autonomous server operator.

Base Model

• Base model: Qwen/Qwen3-4B-Instruct-2507
• Fine-tuning method: LoRA / PEFT
• Precision during training: BF16
• Training environment: AMD ROCm on WSL2

Why Fresh V3

Fresh V3 was chosen as the publish candidate because it gave the best overall balance of:

• concrete first commands
• subsystem grounding
• lower cross-domain drift
• practical operator usefulness

Compared with later patches, it remained more action-oriented and less generic.

Evaluation Snapshot

On a 200-row holdout, Fresh V3 was the strongest Qwen checkpoint in overall quality.

Key heuristic signals:

• apt/dpkg on yum/dnf prompts: 2
• SELinux-like prompts drifting to NFS: 0
• DB prompts drifting to firewall/SSH: 0
• timer prompts with irrelevant commands: 1

Observed strengths:

• grounded nginx and PostgreSQL triage
• good first-step behavior for disk and storage incidents
• low subsystem drift relative to other runs

Observed weaknesses:

• some timer/systemd cases still need improvement
• restart language is still higher than ideal
• not yet a fully trustworthy autonomous Linux operator

Intended Use

Recommended:

• interactive Linux copilot
• incident triage assistant
• first-response diagnosis helper
• operator assistant with human review

Not recommended:

• unattended destructive actions
• unsupervised production remediation
• broad autonomous infrastructure control without tool policy and approval gates

Safety Notes

• Human review is required before disruptive actions.
• The model should be used in diagnosis-first mode.
• Restart, package cleanup, firewall changes, and permission changes should remain approval-gated.
• Use explicit subsystem scoping in prompts to reduce drift.

Training Data Overview

Primary training base:

• balanced fresh Linux copilot dataset: 10,000 train / 1,000 eval
• balanced across categories and styles

Additional iterative work:

• targeted correction datasets
• hard prompt packs
• real failure mining from interactive prompt packs

The final publish candidate remains Fresh V3 because later correction passes improved some narrow cases but often reduced practical specificity.

Example Prompt

Users report 502 behind nginx after an app deploy. What should the copilot inspect first?

Example Behavior

Good answers should:

• start with systemctl status nginx
• inspect recent nginx errors
• verify backend listener or health endpoint
• avoid drifting into unrelated Apache or package-manager paths

Limitations

• still imperfect on timer-specific troubleshooting
• can still overuse restart-oriented phrasing in some cases
• needs a tool policy layer for safe real-world operator use
• should be evaluated further on real environment logs and tool outputs

Files

Expected files in this adapter repo:

• adapter_model.safetensors
• adapter_config.json
• tokenizer.json
• tokenizer_config.json
• chat_template.jinja
• README.md

License and Attribution

Follow the base model license and preserve attribution to the original base model and any external datasets used in the training workflow.

Included Documentation

Additional documentation is included in the docs/ folder:

• docs/Training_and_Evaluation_Report.md
• docs/Copilot_and_Agentic_Usage_Guide.md
• docs/GGUF_and_LM_Studio_Guide.md
• docs/AMD_WSL_ROCm_Training_Setup_and_Smoke_Test.md
• docs/FreshV6_Iteration_Report.md
• docs/DOCUMENTATION_INDEX.md

Suggested Repository Name

subharanjan1987/qwen3-4b-linux-copilot-fresh-v3-lora