Initial commit: LoRA adapter + model card

.gitattributes

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+*.safetensors filter=lfs diff=lfs merge=lfs -text

README.md

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+---
+license: other
+tags:
+  - lora
+  - mlx
+  - customer-support
+  - placeholder-safe
+  - llama-3.2
+base_model: meta-llama/Llama-3.2-3B-Instruct
+library_name: mlx
+datasets:
+  - bitext/Bitext-customer-support-llm-chatbot-training-dataset
+---
+
+# Customer Support LoRA Adapter (Llama-3.2-3B-Instruct · MLX)
+
+This repository provides **LoRA adapters** fine-tuned on the
+[Bitext Customer Support dataset](https://huggingface.co/datasets/bitext/Bitext-customer-support-llm-chatbot-training-dataset).
+The goal is **placeholder-safe** answers (e.g., `{{Order Number}}`, `{{Website URL}}` **must remain unchanged**).
+
+- **Base model**: [`meta-llama/Llama-3.2-3B-Instruct`](https://huggingface.co/meta-llama/Llama-3.2-3B-Instruct)  
+- **Runtime**: Apple Silicon **MLX**  
+- **This repo contains**: `adapters.safetensors` (**LoRA only**; no base weights)
+
+> You must accept/download the base model under its own license (Meta Llama 3.2 Community License).  
+> This repo **does not** include base weights.
+
+---
+
+## Quickstart (MLX CLI)
+
+Install once:
+```bash
+pip install -U mlx-lm
+
+Generate with adapter:
+python -m mlx_lm.generate \
+  --model meta-llama/Llama-3.2-3B-Instruct \
+  --adapter-path batuhne/customer-support-llm \
+  --prompt "Hello, please cancel order {{Order Number}}" \
+  --max-tokens 128 --temp 0.2
+
+Interactive chat (optional):
+python -m mlx_lm.chat \
+  --model meta-llama/Llama-3.2-3B-Instruct \
+  --adapter-path batuhne/customer-support-llm
+
+Recommended system prompt
+Keep placeholders exactly:
+You are a concise, helpful customer support agent. Preserve placeholders exactly as given (e.g., {{Order Number}}, {{Website URL}}).
+
+Notes
+Trained for placeholder integrity; do not modify {{…}} tokens in outputs.
+Use MLX quantized base weights if you need lower RAM/VRAM usage on Apple Silicon.
+
+Limitations
+Adapter quality is tied to the base model and dataset scope (customer support).
+This is not a general safety or policy layer; review outputs before production use.
+
+License
+Base model license: Meta Llama 3.2 Community License (must be accepted separately).

adapters.safetensors

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