Downloads · 30 days
4
7% of all-time downloads
supportsphere-mistral-support
AyeshaImtiaz/supportsphere-mistral-support
supportsphere-mistral-support is a machine learning model from AyeshaImtiaz. 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.
Fine-tuned Mistral-7B-v0.3 on the Bitext customer support dataset (26k examples) using QLoRA.
All-time downloads
59
Public
Parameters
7.2B
14.5 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors14.5 GB · 100%
At a glance
- License
- apache-2.0
- Model type
- mistral
- Access
- Public
- Created
- Jun 26, 2026
- Updated
- Jun 26, 2026
- SHA
- c2d37a81
Base models
Model card
From the Hugging Face model README
SupportSphere — Mistral-7B Fine-tuned for Customer Support
Fine-tuned Mistral-7B-v0.3 on the Bitext customer support dataset (26k examples) using QLoRA.
Part of the SupportSphere production multi-tenant AI customer support platform.
Training Details
| Parameter | Value |
|---|---|
| Base model | mistralai/Mistral-7B-v0.3 |
| Dataset | Bitext customer support (26k examples) |
| Method | QLoRA (4-bit NF4 + LoRA rank=16) |
| Hardware | NVIDIA T4 16GB (Google Colab free tier) |
| Precision | fp16 (T4 compatible) |
| Max steps | 500 |
| Effective batch | 16 (2 × grad_accum 8) |
| Learning rate | 2e-4 cosine |
Intents Covered
order_status · refund_request · technical_issue · billing · general_faq · account · shipping · cancellation
Usage
from transformers import AutoModelForCausalLM, AutoTokenizer
import torch
model_id = "AyeshaImtiaz/supportsphere-mistral-support"
tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id, torch_dtype=torch.float16, device_map="auto")
prompt = "<s>[INST] I want to return my order and get a refund. [/INST]"
inputs = tokenizer(prompt, return_tensors="pt").to(model.device)
output = model.generate(**inputs, max_new_tokens=150, temperature=0.3, do_sample=True)
print(tokenizer.decode(output[0], skip_special_tokens=True))
- Type
- mistral
- License
- apache-2.0
- Languages
- en, ur
- Created
- Jun 26, 2026
- Updated
- Jun 26, 2026