Key Specifications
| Vendor | other |
|---|
| Version | nous-hermes-2-yi-34b |
|---|
| Release Date | 2024-01-22 |
|---|
| Context Window | 4096 tokens |
|---|
| Input Modalities | text |
|---|
| Output Modalities | text |
|---|
| License | Apache 2.0 |
|---|
| Documentation | https://huggingface.co/models |
|---|
Benchmark Performance
| Benchmark | Score | Unit | Evaluated At | Notes | Source |
|---|
| MMLU | 76.9 | % | 2024-01-22 | 5-shot | view |
| HUMANEVAL | 73.2 | pass@1 | 2024-01-22 | — | view |
| GSM8K | 82.7 | % | 2024-01-22 | 0-shot CoT | view |
| MATH | 44.9 | % | 2024-01-22 | 0-shot CoT | view |
| BBH | 75.6 | % | 2024-01-22 | 3-shot CoT | view |
| GPQA | 39 | % | 2024-01-22 | 0-shot | view |
| IFEVAL | 68.3 | % | 2024-01-22 | prompt_strict | view |
| ARC | 93.4 | % | 2024-01-22 | challenge | view |
| MUSR | 48.8 | % | 2024-01-22 | 0-shot | view |
| WINOGRANDE | 83.4 | % | 2024-01-22 | 0-shot | view |
Pricing
| Tier | Price | Currency |
|---|
| Input | $0.4 / Mtok | USD |
| Output | $0.4 / Mtok | USD |
| Cache Read | $0 / Mtok | USD |
| Cache Write | $0 / Mtok | USD |
Source:
https://huggingface.co/models
· as of 2024-01-22
Compliance
- Data Residency: self-host
- SOC2: ✗
- HIPAA: ✗
- GDPR: ✗
- ISO 27001: ✗
Nous Hermes 2 Yi 34B
Modellübersicht
NousResearch Hermes 2 Yi 34B 微调模型, 4K 上下文, 基于 Yi 34B, 改进多语言与指令遵循。
Kernspezifikationen
| Anbieter | Version | Veröffentlichungsdatum | Kontextfenster | Eingabemodalitäten | Ausgabemodalitäten | Lizenz |
|---|
| Other | nous-hermes-2-yi-34b | 2024-01-22 | 4K | text | text | Apache 2.0 |
Benchmark-Leistung
| Benchmark | Ergebnis | Einheit | Notizen |
|---|
| MMLU (Massive Multitask Language Understanding) | 76.9 | % | 5-shot |
| HumanEval | 73.2 | pass@1 | — |
| GSM8K (Grade School Math 8K) | 82.7 | % | 0-shot CoT |
| MATH | 44.9 | % | 0-shot CoT |
| BBH (BIG-Bench Hard) | 75.6 | % | 3-shot CoT |
| GPQA | 39.0 | % | 0-shot |
| IFEval | 68.3 | % | prompt_strict |
| ARC | 93.4 | % | challenge |
| MUSR | 48.8 | % | 0-shot |
| WinoGrande | 83.4 | % | 0-shot |
Preise
| Eingabe | Ausgabe | Cache-Lesen | Cache-Schreiben |
|---|
| — | — | — | — |
pro Million Token
Stärken
Schwächen
- 闭源专有模型,不支持自托管。
- 上下文窗口 4K 偏小。
Anwendungsfälle
Referenzen