test-model-qwen2.5-14b-fp8kv-gsm8k

test-model-qwen2.5-14b-fp8kv-gsm8k is an MLOps & model serving skill for AI agents, published by ModelTC in the LightLLM repository on GitHub. Skillspace rates test-model-qwen2.5-14b-fp8kv-gsm8k D (58/100) and it passed the safety scan; the rating is based on static analysis only.

LightLLM Qwen2.5-14B-Instruct GSM8K with FP8 KV cache quantization: either fp8kv_sph (per-head calibration JSON) or fp8kv_spt (per-tensor calibration JSON). Single api_server tp 2 fixed HTTP port 8089 (not configurable), lm_eval local-completions. Assign GPUs via nvidia-smi then export CUDA_VISIBLE_DEVICES. Before starting api_server, cwd must be LightLLM repo root; pass --kv_quant_calibration_config_path as the repo-relative path from the table row that matches --llm_kv_type (fp8kv_sph with per-head JSON only; fp8kv_spt with per-tensor JSON only; no absolute path, no REPO_ROOT/CALIB_JSON shell concatenation). If default MODEL_DIR path is missing or load fails with path errors, ask the user for the correct MODEL_DIR. LOG_DIR, summary.txt, port listen checks (not health), no_proxy, background server with log redirect. Two variants documented in one skill.

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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