Qwen
Multilingual AI for Global Enterprise, Open, Capable, and Ready to Deploy
Software Pro, headquartered in NYC, deploys Alibaba's Qwen models for global AI products. Qwen2.5 delivers frontier-class performance across 30 or more languages with state-of-the-art coding, math, and reasoning capabilities. We deploy and fine-tune Qwen for enterprises building global AI products where multilingual accuracy and open-weight flexibility are critical requirements.
from transformers import AutoModelForCausalLM, AutoTokenizer
model_name = "Qwen/Qwen2.5-72B-Instruct"
tokenizer = AutoTokenizer.from_pretrained(model_name)
model = AutoModelForCausalLM.from_pretrained(
model_name, device_map="auto"
)
inputs = tokenizer(
"Summarize the Q3 report.", return_tensors="pt"
).to(model.device)
output = model.generate(**inputs, max_new_tokens=1024)
print(tokenizer.decode(output[0], skip_special_tokens=True))What Qwen Can Do for Your Business
Production Qwen systems shipped on customer-controlled hardware for multilingual workloads and coding workflows where open weights matter.
Frontier Multilingual Intelligence
Qwen2.5 leads multilingual benchmarks across Chinese, English, Arabic, Spanish, Japanese, Korean, and more than 25 additional languages, with genuine cultural and linguistic nuance built in.
Qwen-Coder for Software Automation
Qwen2.5-Coder matches GPT-4 on coding benchmarks. Build developer copilots, automated testing pipelines, and code generation tools with open-weight flexibility.
Mathematical Reasoning
Qwen2.5-Math achieves top-tier scores on competition mathematics. Ideal for EdTech platforms, financial modeling tools, and scientific computing applications.
Open-Weight Self-Hosting
Deploy Qwen on your own infrastructure with full weight access. Use quantized GGUF models for CPU inference, GPTQ or AWQ for GPU optimization, or vLLM for high-throughput serving.
RAG & Knowledge Grounding
Combine Qwen with your multilingual document corpus for grounded, accurate retrieval-augmented generation, which is critical for global compliance and knowledge management systems.
Efficient Model Sizes
Qwen's model family spans 0.5B to 72B parameters. Deploy ultra-compact models on edge devices while using large models for complex server-side reasoning.
Your Multilingual Model Questions, Answered.
Direct answers on the four practices that make multilingual model evaluation reliable beyond English-only benchmarks.
How do you evaluate model quality for languages other than English?
Schedule a multilingual model evaluation consultation.
Talk to a multilingual AI engineerIndustry Use Cases
How global product teams deploy Qwen for multilingual chat, regional support automation, and coding assistance on proprietary repos.
Multilingual Customer Intelligence
Deploy AI support, sales, and operations agents that serve customers natively in their own language with consistent quality across all supported languages.
Cross-Border Commerce AI
Power product discovery, customer service, and merchandising intelligence for marketplaces operating across Asian, European, and Middle Eastern markets simultaneously.
Global EdTech AI Tutoring
Build AI tutoring platforms that teach in any language with subject-matter depth, powered by Qwen's strong math reasoning and multilingual fluency.
Multilingual Contract Intelligence
Analyze contracts, regulatory documents, and legal filings across multiple languages without translation loss, preserving legal precision in every source language.
How We Build With Qwen
A proven Qwen deployment process from base model selection to multilingual fine-tuning and production serving.
Language & Domain Assessment
Identify target languages, subject domains, and accuracy requirements. Benchmark Qwen against your existing translation and AI stack.
Model Selection and Deployment
Choose the optimal Qwen variant for your use case, balancing language coverage, accuracy, and infrastructure cost.
Multilingual Data Preparation
Curate and clean multilingual training and evaluation datasets. Build language-balanced evaluation suites for each target market.
Fine-Tuning & Localization
Domain-adapt Qwen to your industry vertical and target languages using LoRA fine-tuning on proprietary multilingual data.
Global Deployment & Monitoring
Deploy with language-aware routing, per-language quality monitoring, and regional latency optimization for global user bases.
Works With Your Existing Stack
We integrate Qwen with your VPC, your inference cluster, and the multilingual content pipelines your global product depends on.
NYC's Leading Qwen Development Team
Why global product teams pick our engineers to ship Qwen as a serious open-weight option for multilingual and coding workloads.