GLM-5.3 is live. Run Z.ai's latest model on Friendli Model APIs. Try it today ➜
BDivyesh
Available on FriendliAI
Run this model inference on single tenant GPU with unmatched speed and reliability at scale.
Run this model inference with full control and performance in your environment.
Model Details
Model Provider
BDivyesh
Model Tree
Qwen/Qwen2.5-Coder-1.5B
Input Modalities
Output Modalities
Supported Functionality
python
import torchfrom peft import AutoPeftModelForCausalLMfrom transformers import AutoTokenizertok = AutoTokenizer.from_pretrained("BDivyesh/boomi-stage-a-1.5b")model = AutoPeftModelForCausalLM.from_pretrained("BDivyesh/boomi-stage-a-1.5b", torch_dtype=torch.float32)# Prompt format: BOOMI stage_a_common.build_messages. Output JSON -> CP-SAT solver -> DXF.Base Qwen/Qwen2.5-Coder-1.5B (Apache-2.0), LoRA r32/α64, completion-only SFT on ResPlan
(MIT) + RERA-derived Indian per-dwelling rows (PII-stripped, geometry-only) + grammar
captions. Fully permissive provenance.
Terse prompts are one-to-many (the model may add a sensible default); can emit BATH
where Indian convention says TOILET on under-specified prompts. Drafts only — not for
sanction/construction without licensed review. License: Apache-2.0.