distillix-spotless

rileyseaburg/distillix-spotless

distillix-spotless is a machine learning model from rileyseaburg. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.

A 100M parameter BitNet b1.58 model fine-tuned for customer service conversations.

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At a glance

License: apache-2.0
Access: Public
Created: Jan 2, 2026
Updated: Jan 3, 2026
SHA: 501afa4a

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Model card

From the Hugging Face model README

Spotless Customer Service - Distillix 100M BitNet

A 100M parameter BitNet b1.58 model fine-tuned for customer service conversations.

Model Details

Architecture: LLaMA-style with BitNet ternary weights {-1, 0, +1}
Parameters: 100M
Context Length: 256 tokens
Training: 5,000 steps on 8.7k customer service conversations
Use Case: Trash bin cleaning service customer support

Files

File	Size	Description
`spotless-customer-service-f16.gguf`	239 MB	For LM Studio / llama.cpp
`distillix-spotless-packed.pt`	30 MB	Compressed PyTorch (2-bit)
`distillix-spotless-final.pt`	382 MB	Full PyTorch checkpoint

Usage in LM Studio

Download spotless-customer-service-f16.gguf
Import into LM Studio
Use system prompt:

You are a customer service agent for Spotless Bin Co, a trash bin cleaning service.

Example Conversations

Customer: Hi, I need help with my service
Agent: Hello! I'm happy to assist you with your service today.

Customer: When is my next cleaning scheduled?
Agent: Let me look that up for you right now.

Customer: The truck didn't show up this week
Agent: I sincerely apologize for missing your scheduled cleaning. Let me look into this.

Training Data

spotless-customer-service-training - 8.7k customer service conversations