4-bit Awq Base model:quantized:weyaxi/op... Base model:weyaxi/openhermes-2... Mistral Quantized Region:us Safetensors
Model Card on HF π€: https://huggingface.co/TheBloke/OpenHermes-2.5-neural-chat-v3-3-Slerp-AWQ
OpenHermes 2.5 Neural Chat V3.3 Slerp AWQ 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 AWQ Parameters and Internals
| LLM Name | OpenHermes 2.5 Neural Chat V3.3 Slerp AWQ |
| Repository π€ | https://huggingface.co/TheBloke/OpenHermes-2.5-neural-chat-v3-3-Slerp-AWQ |
| 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 | 2026-02-15 |
| Maintainer | TheBloke |
| Model Type | mistral |
| Model Files | |
| AWQ Quantization | Yes |
| Quantization Type | awq |
| 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 | float16 |
Best Alternatives to OpenHermes 2.5 Neural Chat V3.3 Slerp AWQ
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| Hc Mistral Alpaca Merged AWQ | 32K / 4.2 GB | 9 | 0 |
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| Mistral Ft Optimized 1227 AWQ | 32K / 4.2 GB | 5 | 1 |
| Metis 0.5 AWQ | 32K / 4.2 GB | 2 | 1 |
| XDAN L1 Chat RL V1 AWQ | 32K / 4.2 GB | 6 | 1 |
| Apricot Wildflower 20 AWQ | 32K / 4.2 GB | 3 | 1 |
| OpenZephyrChat V0.2 AWQ | 32K / 4.2 GB | 8 | 3 |
| Ana V1 M7 AWQ | 32K / 4.2 GB | 1 | 2 |
| OpenZephyrChat AWQ | 32K / 4.2 GB | 4 | 2 |
| Tess XS V1.1 AWQ | 32K / 4.2 GB | 5 | 1 |
Note: green Score (e.g. "73.2") means that the model is better than TheBloke/OpenHermes-2.5-neural-chat-v3-3-Slerp-AWQ .
Rank the OpenHermes 2.5 Neural Chat V3.3 Slerp AWQ Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124