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mistral-customer-service-full
n0xgg04/mistral-customer-service-full
mistral-customer-service-full is a text generation model from n0xgg04. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as apache-2.0.
This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.2 on a dataset of customer service client-agent conversations (Lakshan2003).
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At a glance
- Task
- Text Generation
- Library
- transformers
- License
- apache-2.0
- Model type
- mistral
- Access
- Public
- Created
- Nov 5, 2025
- Updated
- Nov 5, 2025
- SHA
- 581df76a
Try a prompt
Base models
Model card
From the Hugging Face model README
🧠 Mistral-7B Customer Service Fine-tuned Model
This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.2
on a dataset of customer service client-agent conversations (Lakshan2003).
- Optimized for dialogue, polite response, and multi-turn coherence.
- Trained using LoRA (rank=16, alpha=32, dropout=0.05) with H2O LLM Studio.
- Dataset size: ~5k samples (balanced customer ↔ agent turns)
Example Usage
from transformers import AutoModelForCausalLM, AutoTokenizer
model_id = "n0xgg04/mistral-customer-service-full"
tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id, torch_dtype="bfloat16")
prompt = "Hi! Can you help me change my shipping address?"
inputs = tokenizer(prompt, return_tensors="pt")
outputs = model.generate(**inputs, max_new_tokens=150)
print(tokenizer.decode(outputs[0], skip_special_tokens=True))
- Task
- Text Generation
- Library
- transformers
- Type
- mistral
- License
- apache-2.0
- Languages
- en
- Created
- Nov 5, 2025
- Updated
- Nov 5, 2025