SoftwareArchitecture-Instruct-v1
16
5
1 language
license:apache-2.0
by
yasserrmd
Language Model
OTHER
1.2B params
New
16 downloads
Early-stage
Edge AI:
Mobile
Laptop
Server
3GB+ RAM
Mobile
Laptop
Server
Quick Summary
Domain: Software Architecture (for technical professionals) Type: Instruction-tuned LLM Base: LiquidAI/LFM2-1.
Device Compatibility
Mobile
4-6GB RAM
Laptop
16GB RAM
Server
GPU
Minimum Recommended
2GB+ RAM
Code Examples
Usage Examplepythontransformers
from transformers import AutoModelForCausalLM, AutoTokenizer
model_name = "yasserrmd/SoftwareArchitecture-Instruct-v1"
tokenizer = AutoTokenizer.from_pretrained(model_name)
model = AutoModelForCausalLM.from_pretrained(model_name, device_map="auto")
messages = [
{"role": "user", "content": "Explain the Saga pattern with orchestration and choreography."}
]
inputs = tokenizer.apply_chat_template(messages, add_generation_prompt=True, return_tensors="pt").to(model.device)
outputs = model.generate(
**inputs,
max_new_tokens=256,
temperature=0.3,
repetition_penalty=1.05
)
print(tokenizer.decode(outputs[0], skip_special_tokens=True))Deploy This Model
Production-ready deployment in minutes
Together.ai
Instant API access to this model
Production-ready inference API. Start free, scale to millions.
Try Free APIReplicate
One-click model deployment
Run models in the cloud with simple API. No DevOps required.
Deploy NowDisclosure: We may earn a commission from these partners. This helps keep LLMYourWay free.