# Language Modeling on Open LLM Leaderboard Unified General Ability Suite (test)

Source: [Language Modeling on Open LLM Leaderboard Unified General Ability Suite (test)](<https://www.sota2.com/research/sota/language-modeling-on-open-llm-leaderboard-unified-general-ability-suite-test>)

Collection index: [llms.txt](<https://www.sota2.com/research/llms.txt>)

Data updated: 2026-02-26T05:50:02.487Z

Comprehensive evaluation aggregating performance across a wide array of reasoning, knowledge, and general ability benchmarks (including MMLU-P, GPQA, BBH, MATH, IFEval, ARC, PIQA, BoolQ, etc.) as reported on the unified test set of the Open LLM Leaderboard.

A research result applies to its stated dataset, split, metric and evaluation configuration. Compare like-for-like settings, preserve the metric's unit and direction, and distinguish paper-reported results from independent reproduction. The best result recorded here is not a claim of exhaustive, current global coverage.

| Scope | Recorded value |
| --- | --- |
| Task | Language Modeling |
| Dataset (including any stated split) | Open LLM Leaderboard & General Ability Benchmarks (MMLU-P, GPQA, BBH, MATH, MuSR, IFEval, ARC, Hellaswag, PIQA, BoolQ, WinoGrande, COPA, OpenBookQA, SciQ) unified (test) |
| Metric | MMLU-P Accuracy |
| Unit | PERCENT |
| Direction | Higher is better |
| Results loaded | 16 of 16 |
| Coverage | All results currently returned for this benchmark |

Evaluation settings may differ between results. The original papers and recorded configurations are needed to establish comparability. A shared metric name alone does not establish an identical protocol.

## Metrics

- [MMLU-P Accuracy](<https://www.sota2.com/research/sota/language-modeling-on-open-llm-leaderboard-unified-general-ability-suite-test.md?metric=MMLU-P%20Accuracy>): Higher is better; unit: PERCENT.

- [GPQA Accuracy](<https://www.sota2.com/research/sota/language-modeling-on-open-llm-leaderboard-unified-general-ability-suite-test.md?metric=GPQA%20Accuracy>): Higher is better; unit: PERCENT.

- [BBH Accuracy](<https://www.sota2.com/research/sota/language-modeling-on-open-llm-leaderboard-unified-general-ability-suite-test.md?metric=BBH%20Accuracy>): Higher is better; unit: PERCENT.

- [MATH Exact Match (EM)](<https://www.sota2.com/research/sota/language-modeling-on-open-llm-leaderboard-unified-general-ability-suite-test.md?metric=MATH%20Exact%20Match%20(EM)>): Higher is better; unit: PERCENT.

- [MuSR Accuracy](<https://www.sota2.com/research/sota/language-modeling-on-open-llm-leaderboard-unified-general-ability-suite-test.md?metric=MuSR%20Accuracy>): Higher is better; unit: PERCENT.

- [IFEval Instruction (Strict) Accuracy](<https://www.sota2.com/research/sota/language-modeling-on-open-llm-leaderboard-unified-general-ability-suite-test.md?metric=IFEval%20Instruction%20(Strict)%20Accuracy>): Higher is better; unit: PERCENT.

- [IFEval Prompt (Strict) Accuracy](<https://www.sota2.com/research/sota/language-modeling-on-open-llm-leaderboard-unified-general-ability-suite-test.md?metric=IFEval%20Prompt%20(Strict)%20Accuracy>): Higher is better; unit: PERCENT.

- [ARC Challenge Accuracy](<https://www.sota2.com/research/sota/language-modeling-on-open-llm-leaderboard-unified-general-ability-suite-test.md?metric=ARC%20Challenge%20Accuracy>): Higher is better; unit: PERCENT.

- [ARC Easy Accuracy](<https://www.sota2.com/research/sota/language-modeling-on-open-llm-leaderboard-unified-general-ability-suite-test.md?metric=ARC%20Easy%20Accuracy>): Higher is better; unit: PERCENT.

- [HellaSwag Accuracy](<https://www.sota2.com/research/sota/language-modeling-on-open-llm-leaderboard-unified-general-ability-suite-test.md?metric=HellaSwag%20Accuracy>): Higher is better; unit: PERCENT.

- [PIQA Accuracy](<https://www.sota2.com/research/sota/language-modeling-on-open-llm-leaderboard-unified-general-ability-suite-test.md?metric=PIQA%20Accuracy>): Higher is better; unit: PERCENT.

- [BoolQ Accuracy](<https://www.sota2.com/research/sota/language-modeling-on-open-llm-leaderboard-unified-general-ability-suite-test.md?metric=BoolQ%20Accuracy>): Higher is better; unit: PERCENT.

- [WinoGrande Accuracy](<https://www.sota2.com/research/sota/language-modeling-on-open-llm-leaderboard-unified-general-ability-suite-test.md?metric=WinoGrande%20Accuracy>): Higher is better; unit: PERCENT.

- [COPA Accuracy](<https://www.sota2.com/research/sota/language-modeling-on-open-llm-leaderboard-unified-general-ability-suite-test.md?metric=COPA%20Accuracy>): Higher is better; unit: PERCENT.

- [OpenBookQA Accuracy](<https://www.sota2.com/research/sota/language-modeling-on-open-llm-leaderboard-unified-general-ability-suite-test.md?metric=OpenBookQA%20Accuracy>): Higher is better; unit: PERCENT.

- [SciQ Accuracy](<https://www.sota2.com/research/sota/language-modeling-on-open-llm-leaderboard-unified-general-ability-suite-test.md?metric=SciQ%20Accuracy>): Higher is better; unit: PERCENT.

- [Average Rank](<https://www.sota2.com/research/sota/language-modeling-on-open-llm-leaderboard-unified-general-ability-suite-test.md?metric=Average%20Rank>): Lower is better; unit: SCALAR.

- [Top-1 Count](<https://www.sota2.com/research/sota/language-modeling-on-open-llm-leaderboard-unified-general-ability-suite-test.md?metric=Top-1%20Count>): Higher is better; unit: SCALAR.

## Recorded results

| Method | MMLU-P Accuracy | Result date | Report paper |
| --- | --- | --- | --- |
| HyperGLU | 12 | Not recorded | 6992a4599ebc499c97406aa5 |
| HyperMLP | 11.9 | Not recorded | 6992a4599ebc499c97406aa5 |
| HyperGLU | 11.7 | Not recorded | 6992a4599ebc499c97406aa5 |
| HGRN2 | 11.5 | Not recorded | 6992a4599ebc499c97406aa5 |
| HGRN | 11.4 | Not recorded | 6992a4599ebc499c97406aa5 |
| SoftmaxAttn | 11.4 | Not recorded | 6992a4599ebc499c97406aa5 |
| GLA | 11.4 | Not recorded | 6992a4599ebc499c97406aa5 |
| GatedDeltaNet | 11.3 | Not recorded | 6992a4599ebc499c97406aa5 |
| DeltaNet | 11.2 | Not recorded | 6992a4599ebc499c97406aa5 |
| ReLUAttn+KVConv | 11.1 | Not recorded | 6992a4599ebc499c97406aa5 |
| GSA | 11 | Not recorded | 6992a4599ebc499c97406aa5 |
| RetNet | 11 | Not recorded | 6992a4599ebc499c97406aa5 |
| GLA | 11 | Not recorded | 6992a4599ebc499c97406aa5 |
| DeltaNet | 10.9 | Not recorded | 6992a4599ebc499c97406aa5 |
| DiffTrans | 10.9 | Not recorded | 6992a4599ebc499c97406aa5 |
| SoftmaxAttn | 10.6 | Not recorded | 6992a4599ebc499c97406aa5 |

### HyperGLU

MMLU-P Accuracy: 12. Result ID: 699a50a75698665ec4d8378a.

[Reporting paper](<https://www.sota2.com/research/paper/6992a4599ebc499c97406aa5.md>)

[Method origin paper](<https://www.sota2.com/research/paper/6992a4599ebc499c97406aa5.md>)

Recorded evaluation configuration: {"Model Parameters":"1.3B","Training Tokens":"100B","Shots":"MMLU-P: 5, GPQA: 0, BBH: 3, MATH: 4, MuSR: 0; others 0-shot"}. This record does not assert independent reproduction.

### HyperMLP

MMLU-P Accuracy: 11.9. Result ID: 699a50a75698665ec4d83791.

[Reporting paper](<https://www.sota2.com/research/paper/6992a4599ebc499c97406aa5.md>)

[Method origin paper](<https://www.sota2.com/research/paper/6992a4599ebc499c97406aa5.md>)

Recorded evaluation configuration: {"Model Parameters":"340M","Training Tokens":"15B","Shots":"MMLU-P: 5, GPQA: 0, BBH: 3, MATH: 4, MuSR: 0; others 0-shot"}. This record does not assert independent reproduction.

### HyperGLU

MMLU-P Accuracy: 11.7. Result ID: 699a50a75698665ec4d83792.

[Reporting paper](<https://www.sota2.com/research/paper/6992a4599ebc499c97406aa5.md>)

[Method origin paper](<https://www.sota2.com/research/paper/6992a4599ebc499c97406aa5.md>)

Recorded evaluation configuration: {"Model Parameters":"340M","Training Tokens":"15B","Shots":"MMLU-P: 5, GPQA: 0, BBH: 3, MATH: 4, MuSR: 0; others 0-shot"}. This record does not assert independent reproduction.

### HGRN2

MMLU-P Accuracy: 11.5. Result ID: 699a50a75698665ec4d83787.

[Reporting paper](<https://www.sota2.com/research/paper/6992a4599ebc499c97406aa5.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa747e1e209131cea61e8f.md>)

Recorded evaluation configuration: {"Model Parameters":"1.3B","Training Tokens":"100B","Shots":"MMLU-P: 5, GPQA: 0, BBH: 3, MATH: 4, MuSR: 0; others 0-shot"}. This record does not assert independent reproduction.

### HGRN

MMLU-P Accuracy: 11.4. Result ID: 699a50a75698665ec4d83786.

[Reporting paper](<https://www.sota2.com/research/paper/6992a4599ebc499c97406aa5.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa711e1e209131cea4f3d4.md>)

[Implementation](<https://github.com/OpenNLPLab/HGRN>)

Recorded evaluation configuration: {"Model Parameters":"1.3B","Training Tokens":"100B","Shots":"MMLU-P: 5, GPQA: 0, BBH: 3, MATH: 4, MuSR: 0; others 0-shot"}. This record does not assert independent reproduction.

### SoftmaxAttn

MMLU-P Accuracy: 11.4. Result ID: 699a50a75698665ec4d83788.

[Reporting paper](<https://www.sota2.com/research/paper/6992a4599ebc499c97406aa5.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa703d1e209131cea49db1.md>)

[Implementation](<https://github.com/tensorflow/tensor2tensor>)

Recorded evaluation configuration: {"Model Parameters":"1.3B","Training Tokens":"100B","Shots":"MMLU-P: 5, GPQA: 0, BBH: 3, MATH: 4, MuSR: 0; others 0-shot"}. This record does not assert independent reproduction.

### GLA

MMLU-P Accuracy: 11.4. Result ID: 699a50a75698665ec4d83789.

[Reporting paper](<https://www.sota2.com/research/paper/6992a4599ebc499c97406aa5.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa74a51e209131cea62e34.md>)

Recorded evaluation configuration: {"Model Parameters":"1.3B","Training Tokens":"100B","Shots":"MMLU-P: 5, GPQA: 0, BBH: 3, MATH: 4, MuSR: 0; others 0-shot"}. This record does not assert independent reproduction.

### GatedDeltaNet

MMLU-P Accuracy: 11.3. Result ID: 699a50a75698665ec4d8378c.

[Reporting paper](<https://www.sota2.com/research/paper/6992a4599ebc499c97406aa5.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa774b1e209131cea72592.md>)

Recorded evaluation configuration: {"Model Parameters":"340M","Training Tokens":"15B","Shots":"MMLU-P: 5, GPQA: 0, BBH: 3, MATH: 4, MuSR: 0; others 0-shot"}. This record does not assert independent reproduction.

### DeltaNet

MMLU-P Accuracy: 11.2. Result ID: 699a50a75698665ec4d8378d.

[Reporting paper](<https://www.sota2.com/research/paper/6992a4599ebc499c97406aa5.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa76981e209131cea6e083.md>)

[Implementation](<https://github.com/sustcsonglin/flash-linear-attention>)

Recorded evaluation configuration: {"Model Parameters":"340M","Training Tokens":"15B","Shots":"MMLU-P: 5, GPQA: 0, BBH: 3, MATH: 4, MuSR: 0; others 0-shot"}. This record does not assert independent reproduction.

### ReLUAttn+KVConv

MMLU-P Accuracy: 11.1. Result ID: 699a50a75698665ec4d83790.

[Reporting paper](<https://www.sota2.com/research/paper/6992a4599ebc499c97406aa5.md>)

Recorded evaluation configuration: {"Model Parameters":"340M","Training Tokens":"15B","Shots":"MMLU-P: 5, GPQA: 0, BBH: 3, MATH: 4, MuSR: 0; others 0-shot"}. This record does not assert independent reproduction.

### GSA

MMLU-P Accuracy: 11. Result ID: 699a50a75698665ec4d83784.

[Reporting paper](<https://www.sota2.com/research/paper/6992a4599ebc499c97406aa5.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa757b1e209131cea68452.md>)

[Implementation](<https://github.com/sustcsonglin/flash-linear-attention>)

Recorded evaluation configuration: {"Model Parameters":"1.3B","Training Tokens":"100B","Shots":"MMLU-P: 5, GPQA: 0, BBH: 3, MATH: 4, MuSR: 0; others 0-shot"}. This record does not assert independent reproduction.

### RetNet

MMLU-P Accuracy: 11. Result ID: 699a50a75698665ec4d83785.

[Reporting paper](<https://www.sota2.com/research/paper/6992a4599ebc499c97406aa5.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa70471e209131cea4a24a.md>)

Recorded evaluation configuration: {"Model Parameters":"1.3B","Training Tokens":"100B","Shots":"MMLU-P: 5, GPQA: 0, BBH: 3, MATH: 4, MuSR: 0; others 0-shot"}. This record does not assert independent reproduction.

### GLA

MMLU-P Accuracy: 11. Result ID: 699a50a75698665ec4d8378e.

[Reporting paper](<https://www.sota2.com/research/paper/6992a4599ebc499c97406aa5.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa74a51e209131cea62e34.md>)

Recorded evaluation configuration: {"Model Parameters":"340M","Training Tokens":"15B","Shots":"MMLU-P: 5, GPQA: 0, BBH: 3, MATH: 4, MuSR: 0; others 0-shot"}. This record does not assert independent reproduction.

### DeltaNet

MMLU-P Accuracy: 10.9. Result ID: 699a50a75698665ec4d83783.

[Reporting paper](<https://www.sota2.com/research/paper/6992a4599ebc499c97406aa5.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa76981e209131cea6e083.md>)

[Implementation](<https://github.com/sustcsonglin/flash-linear-attention>)

Recorded evaluation configuration: {"Model Parameters":"1.3B","Training Tokens":"100B","Shots":"MMLU-P: 5, GPQA: 0, BBH: 3, MATH: 4, MuSR: 0; others 0-shot"}. This record does not assert independent reproduction.

### DiffTrans

MMLU-P Accuracy: 10.9. Result ID: 699a50a75698665ec4d8378b.

[Reporting paper](<https://www.sota2.com/research/paper/6992a4599ebc499c97406aa5.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa77e01e209131cea75baa.md>)

Recorded evaluation configuration: {"Model Parameters":"340M","Training Tokens":"15B","Shots":"MMLU-P: 5, GPQA: 0, BBH: 3, MATH: 4, MuSR: 0; others 0-shot"}. This record does not assert independent reproduction.

### SoftmaxAttn

MMLU-P Accuracy: 10.6. Result ID: 699a50a75698665ec4d8378f.

[Reporting paper](<https://www.sota2.com/research/paper/6992a4599ebc499c97406aa5.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa703d1e209131cea49db1.md>)

[Implementation](<https://github.com/tensorflow/tensor2tensor>)

Recorded evaluation configuration: {"Model Parameters":"340M","Training Tokens":"15B","Shots":"MMLU-P: 5, GPQA: 0, BBH: 3, MATH: 4, MuSR: 0; others 0-shot"}. This record does not assert independent reproduction.

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