I have fully trained a local large-language model that is optimized for customer support automation and I’m ready to transfer it, together with the datasets used to build it. The model has been fine-tuned on a carefully curated blend of customer service transcripts, FAQ documents, and product manuals, giving it the depth to understand real-world customer issues and the breadth to answer them with brand-specific accuracy. All responses have been pushed well beyond basic templates: every turn of dialogue can be adapted to high, completely customized rules or style guides you provide. During my internal tests the model has handled live chat and ticket scenarios with minimal hallucination, quick latency on consumer-grade GPUs, and native routing to escalation tiers when confidence falls below a set threshold. What you receive • Model weights (fp16 and int8) plus tokenizer • The full training dataset in anonymized form • Fine-tuning scripts (Python, PyTorch, bitsandbytes, LoRA adapters) • An inference notebook and a lightweight REST API wrapper • Written guidance on how to extend, retrain, or distill the model Acceptance criteria 1. You can load the model locally and reproduce the sample dialogues I provide. 2. At least 90 % of a supplied test suite of tickets must be answered within your defined tone and policy. 3. Any further customization requests made within seven days of delivery are incorporated or clearly documented so you can do them yourself. If you are looking for a plug-and-play foundation that you can own outright—no calls to external APIs, no vendor lock-in—let’s talk and I’ll walk you through a live demo.