test-model-qwen3.5-0.8b-gsm8k-scenarios

test-model-qwen3.5-0.8b-gsm8k-scenarios is an LLM evaluation & observability skill for AI agents, published by ModelTC in the LightLLM repository on GitHub. Skillspace rates test-model-qwen3.5-0.8b-gsm8k-scenarios D (58/100) and it passed the safety scan; the rating is based on static analysis only.

LightLLM Qwen3.5-0.8B GSM8K multi-scenario regression: five isolated runs (baseline api_server, prefill cudagraph, linear-attention cache flags, CPU cache plus linear-att, disk cache with LIGHTLLM_DISK_CACHE_PROMPT_LIMIT_LENGTH). Each scenario uses api_server tp 2 port 8089, then lm_eval local-completions gsm8k batch 500. Scenarios 4 and 5 run lm_eval twice for cache warm hit. Per-scenario LOG_DIR, server.log, eval logs, summary.txt. GPUs from nvidia-smi; port listen readiness not health; clear proxies and set no_proxy. Default MODEL_DIR HuggingFace hub snapshot path; default DISK_CACHE_DIR /mtc/test/tmp/ for scenario 5; ask user for paths if missing or not writable.

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

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

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Our review

Architecture
81 / 100
Maturity
Basic: a single SKILL.md
Security scan
No issues found
License
Apache-2.0
Adoption
Adopted by 0 other repositories, in 1 collections

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

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