thegovind/azure-architect-qwen35-0.8b-merged

Azure Cloud Solution Architect - Qwen 3.5 0.8B (SFT Merged)

A fully merged Qwen 3.5 0.8B model fine-tuned via SFT to be an Azure Cloud Solution Architect. This is the LoRA adapters merged into the base weights for easy deployment — no adapter loading needed.

What This Model Does

• —Answers questions about Azure architecture patterns and best practices
• —Identifies Azure services in architecture diagrams
• —Explains cloud design decisions (networking, compute, storage, security, etc.)
• —Trained on 1,678 Q&A pairs scraped from Azure Architecture Center

Training Details

How to Use

from transformers import AutoModelForCausalLM, AutoTokenizer
import torch

model = AutoModelForCausalLM.from_pretrained(
    "thegovind/azure-architect-qwen35-0.8b-merged",
    torch_dtype=torch.float16,
    device_map="auto"
)
tokenizer = AutoTokenizer.from_pretrained("thegovind/azure-architect-qwen35-0.8b-merged")

prompt = "What Azure service is best for global content delivery?"
inputs = tokenizer(prompt, return_tensors="pt").to(model.device)
with torch.no_grad():
    output = model.generate(**inputs, max_new_tokens=256)
print(tokenizer.decode(output[0], skip_special_tokens=True))

When to Use This vs. the LoRA Version

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