Model comparison
Llama 2-7B vs Olmo 7b Instruct
Olmo 7b Instruct is the stronger model overall, scoring 30.3 to 29.1 on the Noometry Index.
Last verified . 10 shared benchmarks.
Meta
Allen Institute for AI (Ai2)Summary
- They share 10 benchmarks with published results for both. Llama 2-7B scores higher in 3 categories and Olmo 7b Instruct in 3 categories; 3 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Olmo 7b Instruct leads 18.8 to 15.7.
Side by side
| Llama 2-7B | Olmo 7b Instruct | |
|---|---|---|
| Provider | Meta | Allen Institute for AI (Ai2) |
| Noometry Index | 29.1 | 30.3 |
| Released | 2023-07-18 | — |
| Weights | Open | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 29 | 10 |
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Category by category
Coding Too close to call
Llama 2-7B: 29.2 (#307), Olmo 7b Instruct: 29.6 (#303)
| Benchmark | Llama 2-7B | Olmo 7b Instruct |
|---|---|---|
| LMArena Coding | 1002 | 1016 |
Reasoning Olmo 7b Instruct leads
Llama 2-7B: 15.7 (#312), Olmo 7b Instruct: 18.8 (#274)
| Benchmark | Llama 2-7B | Olmo 7b Instruct |
|---|---|---|
| LMArena Hard Prompts | 1009 | 993 |
| 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 Too close to call
Llama 2-7B: 30.7 (#233), Olmo 7b Instruct: 30.2 (#237)
| Benchmark | Llama 2-7B | Olmo 7b Instruct |
|---|---|---|
| LMArena Math | 1042 | 1018 |
| GSM8K | 16.7% | — |
Knowledge Not comparable
Llama 2-7B: 28.2 (#248), Olmo 7b Instruct: —
| Benchmark | Llama 2-7B | Olmo 7b Instruct |
|---|---|---|
| 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 7b Instruct: —
| Benchmark | Llama 2-7B | Olmo 7b Instruct |
|---|---|---|
| ScienceQA | 43.1% | — |
Multilingual Too close to call
Llama 2-7B: 23.8 (#293), Olmo 7b Instruct: 24.0 (#291)
| Benchmark | Llama 2-7B | Olmo 7b Instruct |
|---|---|---|
| LMArena Non-English | 973 | 977 |
| LMArena Chinese | 973 | 1014 |
| LMArena Russian | 995 | 947 |
| LMArena French | 970 | — |
| LMArena German | 978 | — |
| LMArena Spanish | 1007 | — |
Instruction Following Llama 2-7B leads
Llama 2-7B: 50.8 (#298), Olmo 7b Instruct: 49.0 (#301)
| Benchmark | Llama 2-7B | Olmo 7b Instruct |
|---|---|---|
| LMArena Instruction Following | 1006 | 978 |
Long Context Not comparable
Llama 2-7B: 30.4 (#287), Olmo 7b Instruct: —
| Benchmark | Llama 2-7B | Olmo 7b Instruct |
|---|---|---|
| LMArena Longer Query | 999 | — |
Writing & Preference Llama 2-7B leads
Llama 2-7B: 28.0 (#298), Olmo 7b Instruct: 25.8 (#303)
| Benchmark | Llama 2-7B | Olmo 7b Instruct |
|---|---|---|
| LMArena Text | 1053 | 1032 |
| LMArena Creative Writing | 1033 | 990 |
| LMArena Multi-Turn | 1029 | 1007 |
Frequently asked questions
Is Llama 2-7B better than Olmo 7b Instruct?
Olmo 7b Instruct is the stronger model overall, scoring 30.3 to 29.1 on the Noometry Index.
Is Llama 2-7B or Olmo 7b Instruct better for coding?
They score almost the same on coding (29.2 vs 29.6); test both on your own repository before choosing.
How many benchmarks do Llama 2-7B and Olmo 7b Instruct share?
10 benchmarks have published results for both models. Llama 2-7B has 29 scored results on Noometry and Olmo 7b Instruct has 10.