[ ABORT TO HUD ]
SEQ. 1
SEQ. 2

Build a China Model Radar Pipeline

🇨🇳 China Frontier Models⏱ 16 min⭐ 175 BASE XP⌨ HANDS-ON LAB

From News to Deployment Decisions

Most teams fail because they consume updates but never convert them into a repeatable selection process. This lesson gives you a model radar operating system.

The Radar Scorecard

DimensionQuestionWeight
License FitCan we deploy commercially in our jurisdictions?25%
Serving EconomicsWhat is real cost at target QPS + context?20%
Task PerformanceHow does it score on our evals (not public leaderboards)?30%
Ops ReliabilityStable tool-calling, latency variance, error rates?25%

Reference Integration Pattern

# 1) Track model release changes weekly
hf api list-models --author Qwen --sort last_modified
hf api list-models --author deepseek-ai --sort last_modified
hf api list-models --author zai-org --sort last_modified

# 2) Pull top candidates for controlled eval
hf download Qwen/Qwen3.6-27B --local-dir ./candidates/qwen
hf download deepseek-ai/DeepSeek-V4-Flash --local-dir ./candidates/deepseek

# 3) Serve challenger lane via vLLM
vllm serve Qwen/Qwen3.6-27B --dtype auto --tensor-parallel-size 2

# 4) Run your private eval suite, then promote or rollback

Production Guardrails

  • Legal gate: License and regional compliance check before any rollout.
  • Safety gate: Red-team prompt set across your highest-risk flows.
  • Reliability gate: p95 latency, timeout rate, tool-call success thresholds.
  • Rollback gate: Canary deployment with instant fallback path.
💡 Practical Rule: Treat every frontier model as a candidate, not a default. Promotion requires passing your own eval and operations gates.
⌨ HANDS-ON LABModel Radar: Weekly Frontier Scan
⭐ +225 XP

Create a lightweight intelligence loop to track Qwen, DeepSeek, GLM, Kimi, InternLM, Baichuan, and Yi for new releases, then rank candidates for production trials.

1Create a watchlist file with your target organizations and priorities.
2Run a retrieval job that pulls latest model metadata and release recency from your watchlist.
3Score top candidates by license, serving cost, context, eval fit, and tool-calling reliability.
lab-sandbox — simulated environment
INFINITY LAB SANDBOX v2.6 — simulated shell
Type the command for the current objective. Helpers: "hint", "solution", "clear".
$
OBJECTIVE 1 / 3 — type "hint" if stuck
KNOWLEDGE CHECK
QUERY 1 // 2
Which scorecard dimension should usually carry the highest weight?
Release popularity
Task performance on your internal evals
Parameter count
Social media hype
Watch: 139x Rust Speedup
Build a China Model Radar Pipeline | China Frontier Models — Open Source AI Academy