Key Specifications
| Vendor | meta |
|---|
| Version | 3.1-70b |
|---|
| Release Date | 2024-07-23 |
|---|
| Context Window | 128000 tokens |
|---|
| Input Modalities | text |
|---|
| Output Modalities | text |
|---|
| License | Llama 3 Community License |
|---|
| Documentation | https://llama.meta.com/docs/ |
|---|
Benchmark Performance
| Benchmark | Score | Unit | Evaluated At | Notes | Source |
|---|
| MMLU | 75.6 | % | 2024-07-23 | 5-shot | view |
| HUMANEVAL | 79.7 | pass@1 | 2024-07-23 | — | view |
| GSM8K | 78.8 | % | 2024-07-23 | 0-shot CoT | view |
| MATH | 38.5 | % | 2024-07-23 | 0-shot CoT | view |
| BBH | 70.2 | % | 2024-07-23 | 3-shot CoT | view |
| GPQA | 40 | % | 2024-07-23 | 0-shot | view |
| IFEVAL | 73.7 | % | 2024-07-23 | prompt_strict | view |
| ARC | 92.3 | % | 2024-07-23 | challenge | view |
| MUSR | 48.1 | % | 2024-07-23 | 0-shot | view |
| WINOGRANDE | 81 | % | 2024-07-23 | 0-shot | view |
Pricing
| Tier | Price | Currency |
|---|
| Input | $0.9 / Mtok | USD |
| Output | $0.9 / Mtok | USD |
| Cache Read | $0 / Mtok | USD |
| Cache Write | $0 / Mtok | USD |
Source:
https://ai.meta.com/blog/
· as of 2024-07-23
Compliance
- Data Residency: self-host
- SOC2: ✗
- HIPAA: ✗
- GDPR: ✗
- ISO 27001: ✗
Llama 3.1 70B
모델 개요
Meta Llama 3.1 70B 中端开源模型, 128K 上下文, 性能接近 GPT-4, 推理与编码能力突出。
핵심 사양
| 공급업체 | 버전 | 출시일 | 컨텍스트 창 | 입력 모달리티 | 출력 모달리티 | 라이선스 |
|---|
| Meta | 3.1-70b | 2024-07-23 | 128K | text | text | Llama 3 Community License |
벤치마크 성능
| 벤치마크 | 점수 | 단위 | 비고 |
|---|
| MMLU (Massive Multitask Language Understanding) | 75.6 | % | 5-shot |
| HumanEval | 79.7 | pass@1 | — |
| GSM8K (Grade School Math 8K) | 78.8 | % | 0-shot CoT |
| MATH | 38.5 | % | 0-shot CoT |
| BBH (BIG-Bench Hard) | 70.2 | % | 3-shot CoT |
| GPQA | 40.0 | % | 0-shot |
| IFEval | 73.7 | % | prompt_strict |
| ARC | 92.3 | % | challenge |
| MUSR | 48.1 | % | 0-shot |
| WinoGrande | 81.0 | % | 0-shot |
가격
백만 토큰당
강점
약점
사용 사례
참고문헌