test-model-qwen3.5-0.8b-pd-nixl

test-model-qwen3.5-0.8b-pd-nixl is an MLOps & model serving skill for AI agents, published by ModelTC in the LightLLM repository on GitHub. Skillspace rates test-model-qwen3.5-0.8b-pd-nixl D (58/100) and it passed the safety scan; the rating is based on static analysis only.

LightLLM Qwen3.5-0.8B PD disaggregation over NIXL gsm8k: pd_master on 8089, prefill on 8001, decode on 8002. Supports TP1 and TP2 runs by setting TP / PREFILL_CUDA_DEVICES / DECODE_CUDA_DEVICES. Qwen3.5 has linear-attention state transfer; use --pd_kv_page_size 2048 and --pd_kv_page_num 16. lm_eval hits pd_master URL. Requires UCX/RDMA env, nvidia_peermem check, curl warmup before lm_eval, registration wait in pd_master.log, and summary.txt. Includes optional repeated-prompt decode cache probe for linear-att page-boundary behavior.

Grade
D
Quality
58 / 100
Safety
Passed
GitHub stars
4,169

Unproven: rated by static analysis only, not yet compared head-to-head.

Our two independent classifiers differ on this skill's category, so treat the placement as provisional.

This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.

Our review

Architecture
77 / 100
Maturity
Structured: ships references or scripts
Security scan
Low-risk patterns
License
Apache-2.0
Adoption
Adopted by 0 other repositories, in 1 collections

What the scanner flagged

  • mentions secrets in text

Not checked yet

  • Not judged on the rubric yet (not a contender in its category)
  • No blind task eval yet
  • Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
  • Sibling files (scripts, references) not fetched; security scan covers SKILL.md only

Skillspace indexes and rates this skill; it does not host or endorse it. Run third-party skills at your own risk.