MLX
lora
customer-support
placeholder-safe
llama-3.2
batuhne's picture
Initial commit: LoRA adapter + model card
846c771
---
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).