test-model-deepseekv32-ep
test-model-deepseekv32-ep is a Model training & evaluation skill for AI agents, published by ModelTC in the LightLLM repository on GitHub. Skillspace rates test-model-deepseekv32-ep D (59/100) and it passed the safety scan; the rating is based on static analysis only.
Runs LightLLM DeepSeek-V3.2 EP MoE gsm8k: api_server with --tp 8 --dp 8 --enable_ep_moe, tool_call_parser deepseekv32, reasoning_parser deepseek-v3, graph_max_batch_size 32, mem_fraction 0.8, LOADWORKER 14, port 8000 aligned with lm_eval base_url. Requires a dedicated log directory, api_server and eval logs, summary.txt consolidated report. lm_eval uses tokenizer_backend=null (server-side tokenization) because local transformers does not recognize model_type deepseek_v32. Distinct from R1 MTP/Base flows. Use for V3.2 EP MoE gsm8k accuracy on LightLLM.
- Grade
- D
- Quality
- 59 / 100
- Safety
- Passed
- GitHub stars
- 4,284
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
- 84 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
Not checked yet
- Category is a classifier prediction; no model has read this skill 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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