Autotrain compatible Base model:01-ai/yi-34b Base model:finetune:01-ai/yi-3... Chatml Conversational Distillation En Endpoints compatible Exl2 Finetuned Gpt4 Instruct Llama Quantized Region:us Safetensors Sharded Synthetic data Tensorflow Yi
Nous Hermes 2 Yi 34B 5.0bpw H6 EXL2 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 Yi 34B 5.0bpw H6 EXL2 Parameters and Internals
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| LLM Name | Nous Hermes 2 Yi 34B 5.0bpw H6 EXL2 |
| Repository 🤗 | https://huggingface.co/LoneStriker/Nous-Hermes-2-Yi-34B-5.0bpw-h6-exl2 |
| Base Model(s) | |
| Model Size | 34b |
| Required VRAM | 22.2 GB |
| Updated | 2024-11-21 |
| Maintainer | LoneStriker |
| Model Type | llama |
| Model Files | |
| Supported Languages | en |
| Quantization Type | exl2 |
| Model Architecture | LlamaForCausalLM |
| License | apache-2.0 |
| Context Length | 4096 |
| Model Max Length | 4096 |
| Transformers Version | 4.37.0.dev0 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | <unk> |
| Vocabulary Size | 64000 |
| Torch Data Type | bfloat16 |
Best Alternatives to Nous Hermes 2 Yi 34B 5.0bpw H6 EXL2
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| Yi 34B 200K RPMerge | 195K / 68.9 GB | 546 | 60 |
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| ...B 200K RPMerge 4.65bpw H6 EXL2 | 195K / 10.5 GB | 7 | 1 |
| Yi 34B 200K RPMerge EXL2 40bpw | 195K / 18.1 GB | 27 | 20 |
| Opus V1 34B 4.0bpw H6 EXL2 | 195K / 18 GB | 14 | 1 |
| Opus V1 34B 5.0bpw H6 EXL2 | 195K / 22.3 GB | 1 | 2 |
| Opus V1 34B 8.0bpw H8 EXL2 | 195K / 34.8 GB | 4 | 1 |
| 34B Beta 5.0bpw H6 EXL2 | 195K / 22.3 GB | 3 | 1 |
Note: green Score (e.g. "73.2") means that the model is better than LoneStriker/Nous-Hermes-2-Yi-34B-5.0bpw-h6-exl2 .
Rank the Nous Hermes 2 Yi 34B 5.0bpw H6 EXL2 Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241110