4-bit Autotrain compatible Base model:quantized:weyaxi/no... Base model:weyaxi/nous-hermes-... Gptq Llama Quantized Region:us Safetensors
Nous Hermes 2 SUS Chat 34B Slerp GPTQ Benchmarks
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
What is the LLM Explorer Rank (Score)
Nous Hermes 2 SUS Chat 34B Slerp GPTQ Parameters and Internals
| LLM Name | Nous Hermes 2 SUS Chat 34B Slerp GPTQ |
| Repository 🤗 | https://huggingface.co/TheBloke/Nous-Hermes-2-SUS-Chat-34B-Slerp-GPTQ |
| Model Name | Nous Hermes 2 SUS Chat 34B Slerp |
| Model Creator | Yağız Çalık |
| Base Model(s) | |
| Model Size | 34b |
| Required VRAM | 18.6 GB |
| Updated | 2024-09-28 |
| Maintainer | TheBloke |
| Model Type | llama |
| Model Files | |
| GPTQ Quantization | Yes |
| Quantization Type | gptq |
| Model Architecture | LlamaForCausalLM |
| License | other |
| Context Length | 4096 |
| Model Max Length | 4096 |
| Transformers Version | 4.37.0.dev0 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | <unk> |
| Vocabulary Size | 64002 |
| Torch Data Type | bfloat16 |
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| Yi 34B 200K RPMerge GPTQ | 195K / 21.2 GB | 6 | 3 |
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| Deepmoney 34B 200K Base GPTQ | 195K / 18.6 GB | 7 | 3 |
| ...ous Capybara Limarpv3 34B GPTQ | 195K / 18.6 GB | 11 | 4 |
| Bagel DPO 34B V0.2 GPTQ | 195K / 18.6 GB | 14 | 2 |
| Bagel 34B V0.2 GPTQ | 195K / 18.6 GB | 6 | 2 |
| Nontoxic Bagel 34B V0.2 GPTQ | 195K / 18.6 GB | 5 | 1 |
Note: green Score (e.g. "73.2") means that the model is better than TheBloke/Nous-Hermes-2-SUS-Chat-34B-Slerp-GPTQ .
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803