Model comparison
Dolly 2.0-12b vs Qwen1.5-72B
Qwen1.5-72B is the stronger model overall, scoring 30.8 to 25.5 on the Noometry Index.
Last verified . 9 shared benchmarks.
Databricks
Alibaba (Qwen)Summary
- They share 9 benchmarks with published results for both. Dolly 2.0-12b scores higher in 0 categories and Qwen1.5-72B in 6 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Qwen1.5-72B leads 37.3 to 15.2.
Side by side
| Dolly 2.0-12b | Qwen1.5-72B | |
|---|---|---|
| Provider | Databricks | Alibaba (Qwen) |
| Noometry Index | 25.5 | 30.8 |
| Released | 2023-04-11 | 2024-02-04 |
| Weights | Open | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 17 | 22 |
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Category by category
Coding Qwen1.5-72B leads
Dolly 2.0-12b: 23.4 (#332), Qwen1.5-72B: 31.9 (#277)
| Benchmark | Dolly 2.0-12b | Qwen1.5-72B |
|---|---|---|
| LMArena Coding | 776 | 1165 |
| BigCodeBench Instruct | — | 33.2% |
| BigCodeBench Complete | — | 40.3% |
| HumanEval+ | — | 59.1% |
| MBPP+ | — | 61.6% |
Reasoning Qwen1.5-72B leads
Dolly 2.0-12b: 15.3 (#316), Qwen1.5-72B: 22.2 (#203)
| Benchmark | Dolly 2.0-12b | Qwen1.5-72B |
|---|---|---|
| LMArena Hard Prompts | 804 | 1148 |
| Epoch Capabilities Index | 89.67 | — |
| HellaSwag | 70.8% | — |
| PIQA | 75.4% | — |
| WinoGrande | 61.8% | — |
Math Qwen1.5-72B leads
Dolly 2.0-12b: 27.3 (#251), Qwen1.5-72B: 33.2 (#205)
| Benchmark | Dolly 2.0-12b | Qwen1.5-72B |
|---|---|---|
| LMArena Math | 871 | 1164 |
Knowledge Not comparable
Dolly 2.0-12b: —, Qwen1.5-72B: 11.5 (#300)
| Benchmark | Dolly 2.0-12b | Qwen1.5-72B |
|---|---|---|
| GPQA Diamond | — | 28.8% |
| LMArena Expert | — | 1136 |
| ARC (AI2) Challenge | 39.6% | — |
| BoolQ | 56.3% | — |
| MMLU | 26.2% | — |
| OpenBookQA | 39.2% | — |
Multilingual Qwen1.5-72B leads
Dolly 2.0-12b: 17.4 (#296), Qwen1.5-72B: 33.2 (#253)
| Benchmark | Dolly 2.0-12b | Qwen1.5-72B |
|---|---|---|
| LMArena Non-English | 836 | 1135 |
| LMArena Chinese | 836 | 1186 |
| LMArena French | — | 1159 |
| LMArena German | — | 1084 |
| LMArena Japanese | — | 1061 |
| LMArena Korean | — | 1050 |
| LMArena Russian | — | 1104 |
| LMArena Spanish | — | 1110 |
Instruction Following Qwen1.5-72B leads
Dolly 2.0-12b: 38.7 (#304), Qwen1.5-72B: 59.3 (#256)
| Benchmark | Dolly 2.0-12b | Qwen1.5-72B |
|---|---|---|
| LMArena Instruction Following | 814 | 1141 |
Long Context Not comparable
Dolly 2.0-12b: —, Qwen1.5-72B: 35.1 (#243)
| Benchmark | Dolly 2.0-12b | Qwen1.5-72B |
|---|---|---|
| LMArena Longer Query | — | 1157 |
Writing & Preference Qwen1.5-72B leads
Dolly 2.0-12b: 15.2 (#311), Qwen1.5-72B: 37.3 (#258)
| Benchmark | Dolly 2.0-12b | Qwen1.5-72B |
|---|---|---|
| LMArena Text | 851 | 1166 |
| LMArena Creative Writing | 864 | 1137 |
| LMArena Multi-Turn | 740 | 1160 |
Frequently asked questions
Is Dolly 2.0-12b better than Qwen1.5-72B?
Qwen1.5-72B is the stronger model overall, scoring 30.8 to 25.5 on the Noometry Index.
Is Dolly 2.0-12b or Qwen1.5-72B better for coding?
Qwen1.5-72B scores higher on coding benchmarks: 31.9 versus 23.4 in the Noometry coding category.
How many benchmarks do Dolly 2.0-12b and Qwen1.5-72B share?
9 benchmarks have published results for both models. Dolly 2.0-12b has 17 scored results on Noometry and Qwen1.5-72B has 22.