Instructions to use apus-ailab/APUS-Reflex with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use apus-ailab/APUS-Reflex with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("apus-ailab/APUS-Reflex", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download latency-vllm-data.json from apus-ailab/APUS-Reflex: direct link, hf CLI and curl.
- Browser
- Download file 3.46 kB
-
https://huggingface.co/apus-ailab/APUS-Reflex/resolve/main/latency-vllm-data.json
- Command line
-
hf download hf://apus-ailab/APUS-Reflex/latency-vllm-data.json
-
curl -L -o latency-vllm-data.json https://huggingface.co/apus-ailab/APUS-Reflex/resolve/main/latency-vllm-data.json
3.46 kB
| { | |
| "network_reference": { | |
| "source": "User-provided same-Runpod network measurement screenshot", | |
| "api_call_pattern": "240 consecutive calls across three rounds", | |
| "google_icmp_ping": { | |
| "samples": 5, | |
| "mean_ms": 31.97 | |
| }, | |
| "typesafe_tcp_443": { | |
| "samples": 10, | |
| "mean_ms": 181.55 | |
| }, | |
| "typesafe_tls_new_connections": { | |
| "samples": 10, | |
| "mean_ms": 184.57 | |
| }, | |
| "typesafe_icmp_response": false, | |
| "caveat": "Separate new-connection probes; no per-request subtraction or model-only latency inference." | |
| }, | |
| "typesafe_three_rounds": { | |
| "source": "User-provided TypeSafe three-round screenshot, 2026-09-21", | |
| "timing": "Official public API full HTTP response; pooled percentiles across all 240 requests", | |
| "raw_requests_independently_verified": false, | |
| "rounds": [ | |
| { | |
| "round": 1, | |
| "mean_ms": 298.83, | |
| "correct": 68, | |
| "questions": 80 | |
| }, | |
| { | |
| "round": 2, | |
| "mean_ms": 303.55, | |
| "correct": 66, | |
| "questions": 80 | |
| }, | |
| { | |
| "round": 3, | |
| "mean_ms": 305.57, | |
| "correct": 65, | |
| "questions": 80 | |
| } | |
| ], | |
| "overall_mean_ms": 302.65, | |
| "overall_correct": 199, | |
| "overall_requests": 240, | |
| "overall_accuracy_percent": 82.92, | |
| "p50_ms": 280.8, | |
| "p95_ms": 376.56, | |
| "p99_ms": 830.45, | |
| "aggregation": "Percentiles recomputed on pooled 240 records, not averages of per-round percentiles", | |
| "http_200_responses": 240, | |
| "note": "Historical single-run accuracy charts retain their original run; this is a separate repeated evaluation." | |
| }, | |
| "provided_snapshot": { | |
| "source": "User-provided screenshot", | |
| "raw_requests_independently_verified": false, | |
| "concurrency": null, | |
| "effort": "high", | |
| "hardware": "1x RTX PRO 6000 Blackwell 96GB", | |
| "timing": "vLLM HTTP full response", | |
| "reported_model": "APUS-OpenJev 9B-5949", | |
| "p50_ms": 25.58, | |
| "p95_ms": 222.36, | |
| "p99_ms": 275.58, | |
| "successful": 333, | |
| "requests": 333, | |
| "error_rate": 0 | |
| }, | |
| "verified_reference": { | |
| "source": "feat-jev-scale-9b-35b/docs/feat-jev-scale-9b-35b/evidence/vllm-merged-http-20260921/local-verification.json", | |
| "aggregation": "Median of three per-round percentiles", | |
| "concurrency": 1, | |
| "rounds": 3, | |
| "requests_per_round": 1040, | |
| "p50_ms": 25.34, | |
| "p95_ms": 222.83, | |
| "p99_ms": 276.78, | |
| "correct": 67, | |
| "quality_records": 80 | |
| }, | |
| "four_b_http": { | |
| "source": "User updated 4B P50 to18ms; P95/P99 ratios remain45%/56% of9B high", | |
| "evidence_kind": "P50: latest user-reported value; P95/P99: calculated from reported ratios; not a direct request-log replay", | |
| "reference_model": "9B-5949 high", | |
| "ratios": { | |
| "p50": null, | |
| "p95": 0.45, | |
| "p99": 0.56 | |
| }, | |
| "p50_ms": 18.0, | |
| "p95_ms": 100.06200000000001, | |
| "p99_ms": 154.3248, | |
| "display_ms": { | |
| "p50_ms": 18.0, | |
| "p95_ms": 100.06, | |
| "p99_ms": 154.32 | |
| } | |
| }, | |
| "historical_rows": [ | |
| { | |
| "name": "Jev official API", | |
| "scope": "TypeSafe HTTP / 240 pooled requests", | |
| "p50_ms": 280.8, | |
| "p95_ms": 376.56 | |
| }, | |
| { | |
| "name": "Laya typed / full input", | |
| "scope": "Local system_one / three-run median", | |
| "p50_ms": 8.68, | |
| "p95_ms": 37.66 | |
| } | |
| ], | |
| "source_search": "No exact 333-request run found in local scale evidence, combined release, or archived loopback/diagnostic-load reports." | |
| } |