Key Specifications
| Vendor | other |
|---|
| Version | hermes-3-llama-3-1-405b |
|---|
| Release Date | 2024-08-12 |
|---|
| Context Window | 131072 tokens |
|---|
| Input Modalities | text |
|---|
| Output Modalities | text |
|---|
| License | Llama 3.1 Community License |
|---|
| Documentation | https://huggingface.co/models |
|---|
Benchmark Performance
| Benchmark | Score | Unit | Evaluated At | Notes | Source |
|---|
| MMLU | 83.9 | % | 2024-08-12 | 5-shot | view |
| HUMANEVAL | 89 | pass@1 | 2024-08-12 | — | view |
| GSM8K | 88.9 | % | 2024-08-12 | 0-shot CoT | view |
| MATH | 65.7 | % | 2024-08-12 | 0-shot CoT | view |
| BBH | 82.1 | % | 2024-08-12 | 3-shot CoT | view |
| GPQA | 40.5 | % | 2024-08-12 | 0-shot | view |
| IFEVAL | 78.2 | % | 2024-08-12 | prompt_strict | view |
| ARC | 94.5 | % | 2024-08-12 | challenge | view |
| MUSR | 57.7 | % | 2024-08-12 | 0-shot | view |
| WINOGRANDE | 86.5 | % | 2024-08-12 | 0-shot | view |
Pricing
| Tier | Price | Currency |
|---|
| Input | $3 / Mtok | USD |
| Output | $3 / Mtok | USD |
| Cache Read | $0 / Mtok | USD |
| Cache Write | $0 / Mtok | USD |
Source:
https://huggingface.co/models
· as of 2024-08-12
Compliance
- Data Residency: self-host
- SOC2: ✗
- HIPAA: ✗
- GDPR: ✗
- ISO 27001: ✗
Hermes 3 Llama 3.1 405B
Ikhtisar Model
NousResearch Hermes 3 Llama 3.1 405B 微调模型, 131K 上下文, 改进中立性与推理, 性能超越基座模型。
Spesifikasi Inti
| Vendor | Versi | Tanggal Rilis | Jendela Konteks | Modalitas Input | Modalitas Output | Lisensi |
|---|
| Other | hermes-3-llama-3-1-405b | 2024-08-12 | 131K | text | text | Llama 3.1 Community License |
Kinerja Benchmark
| Benchmark | Skor | Satuan | Catatan |
|---|
| MMLU (Massive Multitask Language Understanding) | 83.9 | % | 5-shot |
| HumanEval | 89.0 | pass@1 | — |
| GSM8K (Grade School Math 8K) | 88.9 | % | 0-shot CoT |
| MATH | 65.7 | % | 0-shot CoT |
| BBH (BIG-Bench Hard) | 82.1 | % | 3-shot CoT |
| GPQA | 40.5 | % | 0-shot |
| IFEval | 78.2 | % | prompt_strict |
| ARC | 94.5 | % | challenge |
| MUSR | 57.7 | % | 0-shot |
| WinoGrande | 86.5 | % | 0-shot |
Harga
| Input | Output | Baca Cache | Tulis Cache |
|---|
| — | — | — | — |
per juta token
Kelebihan
- MMLU score 83.9, strong knowledge reasoning.
- HumanEval 89.0, excellent code generation.
- GSM8K 88.9, robust math reasoning.
Kekurangan
Kasus Penggunaan
Referensi