AI Engineering Lab Claude Sonnet 4.6 commited on
Commit ·
3e856b1
1
Parent(s): f0318bb
results: add RTX 4070 Laptop 8GB benchmark (Llama-3.1 8B)
Browse filesBenchmark: Meta-Llama-3.1-8B-Instruct-Q4_K_M on RTX 4070 Laptop (8GB VRAM)
- Baseline (f16, ctx=8192): 49.71 TPS, 5837 MiB VRAM
- Turbo3 (turbo3, ctx=64000): 46.68 TPS, 6385 MiB VRAM
- Delta: +7.81x context, +548 MiB VRAM, -6.1% TPS
- Companion to RTX 3090 results (24B model, ctx=100000)
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
results/turboquant-4070-laptop-2026-04-01.json
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{
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"run_id": "rtx4070-laptop-2026-04-01",
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"timestamp": "2026-04-01T17:55:00Z",
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"hardware": {
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"gpu": "RTX 4070 Laptop GPU",
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"vram_total_mb": 8188,
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"node": ".91 (dev-pc-legion)"
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},
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"model": {
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"name": "Meta-Llama-3.1-8B-Instruct-Q4_K_M",
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"size_gb": 4.9,
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"repo": "bartowski/Meta-Llama-3.1-8B-Instruct-GGUF"
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},
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"baseline": {
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"cache_type": "f16",
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"ctx": 8192,
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"port": 8183,
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"vram_used_mb": 5837,
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"tps_runs": [49.71, 49.71, 49.71],
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"tps_avg": 49.71
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},
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"turbo3": {
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"cache_type": "turbo3",
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"ctx": 64000,
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"port": 8184,
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"vram_used_mb": 6385,
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"tps_runs": [46.87, 46.48, 46.70],
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"tps_avg": 46.68
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},
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"delta": {
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"context_multiplier": 7.81,
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"vram_overhead_mb": 548,
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"tps_delta_pct": -6.10
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},
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"reference_rtx3090": {
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"baseline_tps": 51.17,
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"turbo3_tps": 47.06,
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"turbo3_ctx": 100000,
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"model": "mistral-small3.2-24B-Q4_K_M",
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"baseline_ctx": 8192
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},
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"notes": [
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"VRAM total: 8188 MiB (RTX 4070 Laptop). VRAM idle at test start: 0 MiB used.",
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"ctx=64000 chosen for turbo3 (8x baseline) — stays within 8GB VRAM envelope at 6385 MiB",
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"ctx=100000 was not tested — estimated VRAM ~7400+ MiB would be too close to 8188 MiB limit",
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"Model size: 4.9 GB on disk (larger than nominal 4.7 GB estimate)",
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"MSYS_NO_PATHCONV=1 required on Windows Git Bash to prevent /models path mangling (Gotcha #14)",
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"TPS consistency: baseline all runs identical at 49.71 TPS (very stable generation on RTX 4070)",
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"RTX 3090 comparison: used 24B model at ctx=100000; RTX 4070 uses 8B model at ctx=64000 — different tier"
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]
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}
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