SuleynanAuir/Distributed-Fine-Tuning-of-Qwen2.5-7B-as-HotelService-Master
Hotel-domain conversational assistant using Qwen2.5-7B-Instruct, focusing on practical, reproducible fine-tuning. It supports SFT + LoRA for a stable baseline, SFT + QLoRA for 7B model training with 4-bit quantization under limited GPU memory, and DPO to enhance responses via human preference pairs
11
Stars
0
Forks
12.3
Radar Score
Declining
Momentum
Scoring Breakdown
Impact0.6
Velocity16.1
Health25.5
Growth Metrics
7-Day Stars
+0
30-Day Stars
+0
Acceleration
x
Language
Python
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🛡️ Enterprise Readiness & Commercial Safety
Organic Growth
95%
High Confidence
Growth pattern looks organic.
License
Permissive (Commercial Friendly)
Safe for commercial use, modification, and distribution.
Health Grade
C
Based on maintenance, issue response, and release cadence.
Radar Score
12.3
Composite of Impact, Velocity, and Health.
Disclaimer: This is an automated heuristic assessment based on public GitHub signals. Always perform your own security audit, dependency review, and legal compliance check before production deployment.
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