Key Specifications
| Vendor | other |
|---|
| Version | dbrx-instruct |
|---|
| Release Date | 2024-03-27 |
|---|
| Context Window | 32768 tokens |
|---|
| Input Modalities | text |
|---|
| Output Modalities | text |
|---|
| License | DBRX Open Model License |
|---|
| Documentation | https://huggingface.co/models |
|---|
Benchmark Performance
| Benchmark | Score | Unit | Evaluated At | Notes | Source |
|---|
| MMLU | 81.3 | % | 2024-03-27 | 5-shot | view |
| HUMANEVAL | 72.8 | pass@1 | 2024-03-27 | — | view |
| GSM8K | 78.7 | % | 2024-03-27 | 0-shot CoT | view |
| MATH | 50.1 | % | 2024-03-27 | 0-shot CoT | view |
| BBH | 71.7 | % | 2024-03-27 | 3-shot CoT | view |
| GPQA | 34.7 | % | 2024-03-27 | 0-shot | view |
| IFEVAL | 73.1 | % | 2024-03-27 | prompt_strict | view |
| ARC | 93.9 | % | 2024-03-27 | challenge | view |
| MUSR | 54.7 | % | 2024-03-27 | 0-shot | view |
| WINOGRANDE | 81.8 | % | 2024-03-27 | 0-shot | view |
Pricing
| Tier | Price | Currency |
|---|
| Input | $0.75 / Mtok | USD |
| Output | $0.75 / Mtok | USD |
| Cache Read | $0 / Mtok | USD |
| Cache Write | $0 / Mtok | USD |
Source:
https://huggingface.co/models
· as of 2024-03-27
Compliance
- Data Residency: self-host
- SOC2: ✗
- HIPAA: ✗
- GDPR: ✗
- ISO 27001: ✗
DBRX Instruct
Visão geral do modelo
Databricks DBRX Instruct MoE 模型, 32K 上下文, 总参 132B/活跃 36B, 在开源模型中编程/数学领先。
Especificações principais
| Fornecedor | Versão | Data de lançamento | Janela de contexto | Modalidades de entrada | Modalidades de saída | Licença |
|---|
| Other | dbrx-instruct | 2024-03-27 | 32K | text | text | DBRX Open Model License |
Desempenho em benchmarks
| Benchmark | Pontuação | Unidade | Notas |
|---|
| MMLU (Massive Multitask Language Understanding) | 81.3 | % | 5-shot |
| HumanEval | 72.8 | pass@1 | — |
| GSM8K (Grade School Math 8K) | 78.7 | % | 0-shot CoT |
| MATH | 50.1 | % | 0-shot CoT |
| BBH (BIG-Bench Hard) | 71.7 | % | 3-shot CoT |
| GPQA | 34.7 | % | 0-shot |
| IFEval | 73.1 | % | prompt_strict |
| ARC | 93.9 | % | challenge |
| MUSR | 54.7 | % | 0-shot |
| WinoGrande | 81.8 | % | 0-shot |
Preços
| Entrada | Saída | Leitura de cache | Escrita de cache |
|---|
| — | — | — | — |
por milhão de tokens
Pontos fortes
- MMLU score 81.3, strong knowledge reasoning.
- 采用 MoE 混合专家架构。
Pontos fracos
Casos de uso
Referências