Downloads · 30 days
6
13% of all-time downloads
lbm-v3.6-dpo
amityco/lbm-v3.6-dpo
lbm-v3.6-dpo is a machine learning model from amityco. 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.
This is a merged, vLLM-ready LBM v3.6 checkpoint specialized for the Thai market. It starts from amityco/lbm-v3.6 and applies same-decision DPO on fresh, externally judged Thai customer rollouts.
All-time downloads
46
Public
Parameters
27.8B
55.8 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors55.7 GB · 100%
At a glance
- License
- apache-2.0
- Model type
- qwen3_5
- Access
- Public
- Created
- Aug 6, 2026
- Updated
- Aug 6, 2026
- SHA
- f731b881
Base models
Model card
From the Hugging Face model README
LBM v3.6 DPO
This is a merged, vLLM-ready LBM v3.6 checkpoint specialized for the Thai market.
It starts from amityco/lbm-v3.6 and applies same-decision DPO on fresh, externally judged Thai customer rollouts.
Output contract
First-person Rationale -> Acceptance Probability -> Final Decision: ACCEPT/REJECT
Frozen 2,000-row Thai diagnostic
| Task | ROC AUC |
|---|---|
| Coupon response | 0.6811 |
| Promotion response | 0.6583 |
| New-product adoption | 0.7271 |
Gate pass: True.
Scope and limitations
- Behavior events use customer-held-out Lotus-derived ground truth and opportunity proxies.
- The small diagnostic is outcome-balanced and is not a population calibration estimate.
- HBA/WTP remain evaluation-only. v3.6 post-training does not yet dominate older LBM checkpoints on every survey metric, so run the complete frozen Thai benchmark before deployment.
- Do not interpret predicted acceptance as causal coupon lift.
- Type
- qwen3_5
- License
- apache-2.0
- Languages
- th, en
- Created
- Aug 6, 2026
- Updated
- Aug 6, 2026