Key Specifications
| Vendor | google |
|---|
| Version | gemma-2-9b |
|---|
| Release Date | 2024-06-27 |
|---|
| Context Window | 8192 tokens |
|---|
| Input Modalities | text |
|---|
| Output Modalities | text |
|---|
| License | Gemma License |
|---|
| Documentation | https://ai.google.dev/gemma/docs |
|---|
Benchmark Performance
| Benchmark | Score | Unit | Evaluated At | Notes | Source |
|---|
| MMLU | 64.3 | % | 2024-06-27 | 5-shot | view |
| HUMANEVAL | 60.9 | pass@1 | 2024-06-27 | — | view |
| GSM8K | 64.3 | % | 2024-06-27 | 0-shot CoT | view |
| MATH | 28.9 | % | 2024-06-27 | 0-shot CoT | view |
| BBH | 66.7 | % | 2024-06-27 | 3-shot CoT | view |
| GPQA | 30.3 | % | 2024-06-27 | 0-shot | view |
| IFEVAL | 64.3 | % | 2024-06-27 | prompt_strict | view |
| ARC | 90.3 | % | 2024-06-27 | challenge | view |
| MUSR | 44.1 | % | 2024-06-27 | 0-shot | view |
| WINOGRANDE | 72.5 | % | 2024-06-27 | 0-shot | view |
Pricing
| Tier | Price | Currency |
|---|
| Input | $0.3 / Mtok | USD |
| Output | $0.3 / Mtok | USD |
| Cache Read | $0 / Mtok | USD |
| Cache Write | $0 / Mtok | USD |
Source:
https://ai.google.dev/pricing
· as of 2024-06-27
Compliance
- Data Residency: US
- SOC2: ✓
- HIPAA: ✗
- GDPR: ✓
- ISO 27001: ✓
Gemma 2 9B
모델 개요
Google Gemma 2 9B 开源模型, 8K 上下文, 在 9B 规模上超越 Llama 3 8B, 推理能力接近 70B 模型。
핵심 사양
| 공급업체 | 버전 | 출시일 | 컨텍스트 창 | 입력 모달리티 | 출력 모달리티 | 라이선스 |
|---|
| Google | gemma-2-9b | 2024-06-27 | 8K | text | text | Gemma License |
벤치마크 성능
| 벤치마크 | 점수 | 단위 | 비고 |
|---|
| MMLU (Massive Multitask Language Understanding) | 64.3 | % | 5-shot |
| HumanEval | 60.9 | pass@1 | — |
| GSM8K (Grade School Math 8K) | 64.3 | % | 0-shot CoT |
| MATH | 28.9 | % | 0-shot CoT |
| BBH (BIG-Bench Hard) | 66.7 | % | 3-shot CoT |
| GPQA | 30.3 | % | 0-shot |
| IFEval | 64.3 | % | prompt_strict |
| ARC | 90.3 | % | challenge |
| MUSR | 44.1 | % | 0-shot |
| WinoGrande | 72.5 | % | 0-shot |
가격
백만 토큰당
강점
약점
- 闭源专有模型，不支持自托管。
- 上下文窗口 8K 偏小。
사용 사례
참고문헌