Key Specifications
| Vendor | google |
|---|
| Version | gemma-7b |
|---|
| Release Date | 2024-02-21 |
|---|
| 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 | 69.6 | % | 2024-02-21 | 5-shot | view |
| HUMANEVAL | 61 | pass@1 | 2024-02-21 | — | view |
| GSM8K | 63.6 | % | 2024-02-21 | 0-shot CoT | view |
| MATH | 25.7 | % | 2024-02-21 | 0-shot CoT | view |
| BBH | 65.7 | % | 2024-02-21 | 3-shot CoT | view |
| GPQA | 37.1 | % | 2024-02-21 | 0-shot | view |
| IFEVAL | 66.9 | % | 2024-02-21 | prompt_strict | view |
| ARC | 88.4 | % | 2024-02-21 | challenge | view |
| MUSR | 36.2 | % | 2024-02-21 | 0-shot | view |
| WINOGRANDE | 74.1 | % | 2024-02-21 | 0-shot | view |
Pricing
| Tier | Price | Currency |
|---|
| Input | $0.22 / Mtok | USD |
| Output | $0.22 / Mtok | USD |
| Cache Read | $0 / Mtok | USD |
| Cache Write | $0 / Mtok | USD |
Source:
https://ai.google.dev/pricing
· as of 2024-02-21
Compliance
- Data Residency: US
- SOC2: ✓
- HIPAA: ✗
- GDPR: ✓
- ISO 27001: ✓
Gemma 7B
Modellöversikt
Google Gemma 7B 开源模型, 8K 上下文, 基于 Gemini 技术, 在 7B 规模上达到 Llama 2 13B 性能。
Kärnspecifikationer
| Leverantör | Version | Releasedatum | Kontextfönster | Inmatningsmodaliteter | Utmatningsmodaliteter | Licens |
|---|
| Google | gemma-7b | 2024-02-21 | 8K | text | text | Gemma License |
Benchmarkprestanda
| Benchmark | Poäng | Enhet | Anteckningar |
|---|
| MMLU (Massive Multitask Language Understanding) | 69.6 | % | 5-shot |
| HumanEval | 61.0 | pass@1 | — |
| GSM8K (Grade School Math 8K) | 63.6 | % | 0-shot CoT |
| MATH | 25.7 | % | 0-shot CoT |
| BBH (BIG-Bench Hard) | 65.7 | % | 3-shot CoT |
| GPQA | 37.1 | % | 0-shot |
| IFEval | 66.9 | % | prompt_strict |
| ARC | 88.4 | % | challenge |
| MUSR | 36.2 | % | 0-shot |
| WinoGrande | 74.1 | % | 0-shot |
Priser
| Inmatning | Utmatning | Cacheläsning | Cacheskrivning |
|---|
| — | — | — | — |
per miljon tokens
Styrkor
Svagheter
- 闭源专有模型，不支持自托管。
- 上下文窗口 8K 偏小。
Användningsområden
Referenser