Nous Hermes 2 SUS Chat 34B Slerp GGUF Benchmarks
HF Avg Score: 65 vs 86.1 (GPT-4) -24.5%
ARC: 58.7-39%
HellaSwag: 71.4-25.1%
MMLU: 67.8-21.6%
TruthfulQA: 56.9-3.6%
WinoGrande: 81.9-6.4%
GSM8K: 52.5-42.9%
nn.n% — How the model compares to the GPT-4.
Rank the Nous Hermes 2 SUS Chat 34B Slerp GGUF Capabilities
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Best Alternatives to Nous Hermes 2 SUS Chat 34B Slerp GGUF
Best Alternatives |
HF Rank |
Context/RAM |
Downloads |
Likes |
|---|---|---|---|---|
| SUS Chat 34B GGUF | 74.6 | 0K / 14.6 GB | 333 | 16 |
| Yi 1.5 34B Chat GGUF | 65.6 | 0K / 12.8 GB | 200 | 6 |
| MetaMath Bagel DPO 34B GGUF | 65.6 | 0K / 12.8 GB | 175 | 3 |
| Nontoxic Bagel 34B V0.2 GGUF | 65.5 | 0K / 14.6 GB | 231 | 3 |
| Bagel DPO 34B V0.2 GGUF | 65.3 | 0K / 14.6 GB | 294 | 10 |
| Una Xaberius 34B V1beta GGUF | 65.1 | 0K / 14.6 GB | 291 | 7 |
| Nous Hermes 2 Yi 34B GGUF | 64.7 | 0K / 14.6 GB | 1855 | 40 |
| 34B Beta GGUF | 64.1 | 0K / 12.8 GB | 274 | 3 |
| ...4B 200K DARE Megamerge V8 GGUF | 63.6 | 0K / 9.3 GB | 2462 | 11 |
| Yi 34B V3 GGUF | 63.4 | 0K / 14.6 GB | 565 | 7 |
Note: green Score (e.g. "73.2") means that the model is better than TheBloke/Nous-Hermes-2-SUS-Chat-34B-Slerp-GGUF .
Nous Hermes 2 SUS Chat 34B Slerp GGUF Parameters and Internals
| LLM Name | Nous Hermes 2 SUS Chat 34B Slerp GGUF |
| Repository | Open on 🤗 |
| Model Name | Nous Hermes 2 SUS Chat 34B Slerp |
| Model Creator | Yağız Çalık |
| Base Model(s) | |
| Model Size | 34b |
| Required VRAM | 14.6 GB |
| Updated | 2024-07-01 |
| Maintainer | TheBloke |
| Model Type | yi |
| Model Files | |
| GGUF Quantization | Yes |
| Quantization Type | gguf |
| Model Architecture | AutoModel |
| License | other |
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024042801