Model comparison
Llama 2-7B vs Olmo 2 0325 32b Instruct
Olmo 2 0325 32b Instruct is the stronger model overall, scoring 32.7 to 29.1 on the Noometry Index.
Last verified . 11 shared benchmarks.
Meta
Allen Institute for AI (Ai2)Summary
- They share 11 benchmarks with published results for both. Llama 2-7B scores higher in 2 categories and Olmo 2 0325 32b Instruct in 6 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Olmo 2 0325 32b Instruct leads 42.1 to 28.0.
Side by side
| Llama 2-7B | Olmo 2 0325 32b Instruct | |
|---|---|---|
| Provider | Meta | Allen Institute for AI (Ai2) |
| Noometry Index | 29.1 | 32.7 |
| Released | 2023-07-18 | — |
| Weights | Open | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 29 | 16 |
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Category by category
Coding Olmo 2 0325 32b Instruct leads
Llama 2-7B: 29.2 (#307), Olmo 2 0325 32b Instruct: 35.2 (#227)
| Benchmark | Llama 2-7B | Olmo 2 0325 32b Instruct |
|---|---|---|
| LMArena Coding | 1002 | 1210 |
Reasoning Olmo 2 0325 32b Instruct leads
Llama 2-7B: 15.7 (#312), Olmo 2 0325 32b Instruct: 23.6 (#175)
| Benchmark | Llama 2-7B | Olmo 2 0325 32b Instruct |
|---|---|---|
| LMArena Hard Prompts | 1009 | 1208 |
| Chess Puzzles | 0% | — |
| BIG-Bench Hard | 39.2% | — |
| Epoch Capabilities Index | 99.06 | — |
| HellaSwag | 77.2% | — |
| LAMBADA | 73.3% | — |
| PIQA | 78.8% | — |
| WinoGrande | 69.2% | — |
Math Llama 2-7B leads
Llama 2-7B: 30.7 (#233), Olmo 2 0325 32b Instruct: 26.8 (#255)
| Benchmark | Llama 2-7B | Olmo 2 0325 32b Instruct |
|---|---|---|
| LMArena Math | 1042 | 1208 |
| Omni-MATH | — | 16.1% |
| GSM8K | 16.7% | — |
Knowledge Llama 2-7B leads
Llama 2-7B: 28.2 (#248), Olmo 2 0325 32b Instruct: 19.5 (#279)
| Benchmark | Llama 2-7B | Olmo 2 0325 32b Instruct |
|---|---|---|
| MMLU-Pro | — | 41.4% |
| GPQA (HELM) | — | 28.7% |
| LMArena Expert | 1036 | — |
| ARC (AI2) Challenge | 45.9% | — |
| BoolQ | 77.9% | — |
| MMLU | 45.8% | — |
| OpenBookQA | 58.6% | — |
| TriviaQA | 73.7% | — |
Multimodal Not comparable
Llama 2-7B: —, Olmo 2 0325 32b Instruct: —
| Benchmark | Llama 2-7B | Olmo 2 0325 32b Instruct |
|---|---|---|
| ScienceQA | 43.1% | — |
Multilingual Olmo 2 0325 32b Instruct leads
Llama 2-7B: 23.8 (#293), Olmo 2 0325 32b Instruct: 34.8 (#248)
| Benchmark | Llama 2-7B | Olmo 2 0325 32b Instruct |
|---|---|---|
| LMArena Non-English | 973 | 1160 |
| LMArena Chinese | 973 | 1192 |
| LMArena Russian | 995 | 1187 |
| LMArena French | 970 | — |
| LMArena German | 978 | — |
| LMArena Spanish | 1007 | — |
Instruction Following Olmo 2 0325 32b Instruct leads
Llama 2-7B: 50.8 (#298), Olmo 2 0325 32b Instruct: 61.5 (#244)
| Benchmark | Llama 2-7B | Olmo 2 0325 32b Instruct |
|---|---|---|
| LMArena Instruction Following | 1006 | 1186 |
| IFEval | — | 78% |
Long Context Olmo 2 0325 32b Instruct leads
Llama 2-7B: 30.4 (#287), Olmo 2 0325 32b Instruct: 36.2 (#234)
| Benchmark | Llama 2-7B | Olmo 2 0325 32b Instruct |
|---|---|---|
| LMArena Longer Query | 999 | 1194 |
Writing & Preference Olmo 2 0325 32b Instruct leads
Llama 2-7B: 28.0 (#298), Olmo 2 0325 32b Instruct: 42.1 (#236)
| Benchmark | Llama 2-7B | Olmo 2 0325 32b Instruct |
|---|---|---|
| LMArena Text | 1053 | 1218 |
| LMArena Creative Writing | 1033 | 1199 |
| LMArena Multi-Turn | 1029 | 1221 |
| WildBench | — | 73.4% |
Frequently asked questions
Is Llama 2-7B better than Olmo 2 0325 32b Instruct?
Olmo 2 0325 32b Instruct is the stronger model overall, scoring 32.7 to 29.1 on the Noometry Index.
Is Llama 2-7B or Olmo 2 0325 32b Instruct better for coding?
Olmo 2 0325 32b Instruct scores higher on coding benchmarks: 35.2 versus 29.2 in the Noometry coding category.
How many benchmarks do Llama 2-7B and Olmo 2 0325 32b Instruct share?
11 benchmarks have published results for both models. Llama 2-7B has 29 scored results on Noometry and Olmo 2 0325 32b Instruct has 16.