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README.md
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---
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library_name: transformers
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license: apache-2.0
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license_link: https://huggingface.co/NousResearch/Hermes-4-70B/blob/main/LICENSE
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pipeline_tag: text-generation
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tags:
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- llama-cpp
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- gguf-my-repo
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base_model: NousResearch/Hermes-4-70B
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---
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# macandchiz/Hermes-4-70B-GGUF
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Quantized version of: [NousResearch/Hermes-4-70B](https://huggingface.co/NousResearch/Hermes-4-70B)
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## Available Files
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The following GGUF quantization variants are available:
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- `hermes-4-70b-q2_k.gguf`
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- `hermes-4-70b-q3_k_s.gguf`
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- `hermes-4-70b-q3_k_m.gguf`
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- `hermes-4-70b-q3_k_l.gguf`
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- `hermes-4-70b-q4_0.gguf`
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- `hermes-4-70b-q4_1.gguf`
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- `hermes-4-70b-q4_k_s.gguf`
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- `hermes-4-70b-q4_k_m.gguf`
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- `hermes-4-70b-q5_0.gguf`
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- `hermes-4-70b-q5_1.gguf`
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- `hermes-4-70b-q5_k_s.gguf`
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- `hermes-4-70b-q5_k_m.gguf`
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- `hermes-4-70b-q6_k.gguf`
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- `hermes-4-70b-q8_0.gguf`
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- `hermes-4-70b-f16.gguf`
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## Quantization Information
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- **q2_k**: Smallest size, lowest quality
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- **q3_k_s, q3_k_m, q3_k_l**: Small size, low quality variants
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- **q4_0, q4_1, q4_k_s, q4_k_m**: Medium size, good quality (recommended for most use cases)
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- **q5_0, q5_1, q5_k_s, q5_k_m**: Larger size, better quality
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- **q6_k**: Large size, high quality
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- **q8_0**: Very large size, very high quality
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- **f16**: Original precision (largest size)
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Choose the quantization level that best fits your needs based on the trade-off between file size and model quality.
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