Model passport
Alpaca 13b
alpaca-13b- Open weights
- Non-commercial licence
- Released 2023-03-13(curated)
- Overall · LMArena
- 1,070#385 of 396
- Best percentile
- 3.0Overall
- Cohort standing
- 22.6median 25.6
What the data says
Benchmarked on 4 of 27 tracked axes. Every figure below is the model's own published result on that board.
Weakest axes
- 1 pct — Coding (999)
- 1.5 pct — Hard prompts (1,010)
- 2.5 pct — Instruction following (1,025)
Uneven: 2 percentile points between its best and worst axis — 3 pct on Overall versus 1 pct on Coding.
- Overall3 pct1,070Verify →
- Instruction following2.5 pct1,025Verify →
- Hard prompts1.5 pct1,010Verify →
- Coding1 pct999Verify →
- WebDev ArenaNot benchmarked
- Vision ArenaNot benchmarked
- Factuality ArenaNot benchmarked
- Search ArenaNot benchmarked
- Document ArenaNot benchmarked
- Agent ArenaNot benchmarked
- GPQA DiamondNot benchmarked
- AIME (math)Not benchmarked
- FrontierMathNot benchmarked
- SimpleQA VerifiedNot benchmarked
- ARC-AGI-2Not benchmarked
- Humanity's Last ExamNot benchmarked
- SimpleBenchNot benchmarked
- LiveBenchNot benchmarked
- BFCL v4 (function calling)Not benchmarked
- SWE-bench Verified (live board)Not benchmarked
- Terminal-Bench 4.0Not benchmarked
- MMLU-Pro (Artificial Analysis)Not benchmarked
- LiveCodeBench (Artificial Analysis)Not benchmarked
- IFBench (Artificial Analysis)Not benchmarked
- HHEM Hallucination (Vectara)Not benchmarked
- SWE-bench VerifiedNot benchmarked
- Terminal-BenchNot benchmarked
Percentiles are the model's standing within each board's own population. Axes marked "not benchmarked" have no published result for this model — that is an absence of data, not a low score.
alpaca-13b stands at 22.6 (raw mean 2) — measured on 4 of 27 axes.
alpaca-13b stands at 22.6 versus a cohort median of 25.6 across 27 models released within 180 days — below the peer median.
alpaca-13b scores in the 1st percentile on Coding.
alpaca-13b scores at percentile 1.5 on Hard prompts.
alpaca-13b ranks between #401 and #861 across 5 built-in weightings — best under "Conversation-first", worst under "All sources".
Every claim is a computed fact from the current board data, phrased by a low-temperature model call and rejected by a validation gate if any number is not in the source row. How the leaderboards work →