4-bit Base model:quantized:weyaxi/op... Base model:weyaxi/openhermes-2... Gptq Mistral Quantized Region:us Safetensors
Model Card on HF π€: https://huggingface.co/TheBloke/OpenHermes-2.5-neural-chat-v3-3-Slerp-GPTQ
OpenHermes 2.5 Neural Chat V3.3 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)
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OpenHermes 2.5 Neural Chat V3.3 Slerp GPTQ Parameters and Internals
| LLM Name | OpenHermes 2.5 Neural Chat V3.3 Slerp GPTQ |
| Repository π€ | https://huggingface.co/TheBloke/OpenHermes-2.5-neural-chat-v3-3-Slerp-GPTQ |
| Model Name | OpenHermes 2.5 Neural Chat V3 3 Slerp |
| Model Creator | YaΔΔ±z ÇalΔ±k |
| Base Model(s) | |
| Model Size | 7.2b |
| Required VRAM | 4.2 GB |
| Updated | 2026-01-10 |
| Maintainer | TheBloke |
| Model Type | mistral |
| Model Files | |
| GPTQ Quantization | Yes |
| Quantization Type | gptq |
| Model Architecture | MistralForCausalLM |
| License | apache-2.0 |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.35.2 |
| Tokenizer Class | LlamaTokenizer |
| Vocabulary Size | 32000 |
| Torch Data Type | bfloat16 |
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| HamSter 0.1 GPTQ | 32K / 4.2 GB | 33 | 2 |
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| Metis 0.1 GPTQ | 32K / 4.2 GB | 16 | 1 |
| Supermario V2 GPTQ | 32K / 4.2 GB | 1 | 1 |
| ...taMath Cybertron Starling GPTQ | 32K / 4.2 GB | 4 | 1 |
| Em German Mistral V01 GPTQ | 32K / 4.2 GB | 3 | 5 |
Note: green Score (e.g. "73.2") means that the model is better than TheBloke/OpenHermes-2.5-neural-chat-v3-3-Slerp-GPTQ .
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124