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Noro-Hermes-3x7B-GGUF

Transformers
GGUF
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Mixture of Experts
frankenmoe
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mergekit
lazymergekit
NousResearch/Nous-Hermes-2-Mistral-7B-DPO
NeverSleep/Noromaid-7B-0.4-DPO
mistralai/Mistral-7B-Instruct-v0.2
Inference Endpoints
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Model card Files Community
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@@ -43,14 +43,13 @@ more details, including on how to concatenate multi-part files.
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  | [GGUF](https://huggingface.co/mradermacher/Noro-Hermes-3x7B-GGUF/resolve/main/Noro-Hermes-3x7B.IQ4_XS.gguf) | IQ4_XS | 10.3 | |
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  | [GGUF](https://huggingface.co/mradermacher/Noro-Hermes-3x7B-GGUF/resolve/main/Noro-Hermes-3x7B.Q4_0.gguf) | Q4_0 | 10.7 | fast, low quality |
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  | [GGUF](https://huggingface.co/mradermacher/Noro-Hermes-3x7B-GGUF/resolve/main/Noro-Hermes-3x7B.Q4_K_S.gguf) | Q4_K_S | 10.8 | fast, recommended |
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- | [GGUF](https://huggingface.co/mradermacher/Noro-Hermes-3x7B-GGUF/resolve/main/Noro-Hermes-3x7B.IQ4_NL.gguf) | IQ4_NL | 10.8 | slightly worse than Q4_K_S |
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  | [GGUF](https://huggingface.co/mradermacher/Noro-Hermes-3x7B-GGUF/resolve/main/Noro-Hermes-3x7B.Q4_K_M.gguf) | Q4_K_M | 11.5 | fast, recommended |
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  | [GGUF](https://huggingface.co/mradermacher/Noro-Hermes-3x7B-GGUF/resolve/main/Noro-Hermes-3x7B.Q5_K_S.gguf) | Q5_K_S | 13.0 | |
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  | [GGUF](https://huggingface.co/mradermacher/Noro-Hermes-3x7B-GGUF/resolve/main/Noro-Hermes-3x7B.Q5_K_M.gguf) | Q5_K_M | 13.4 | |
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  | [GGUF](https://huggingface.co/mradermacher/Noro-Hermes-3x7B-GGUF/resolve/main/Noro-Hermes-3x7B.Q6_K.gguf) | Q6_K | 15.4 | very good quality |
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  | [GGUF](https://huggingface.co/mradermacher/Noro-Hermes-3x7B-GGUF/resolve/main/Noro-Hermes-3x7B.Q8_0.gguf) | Q8_0 | 19.9 | fast, best quality |
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-
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  Here is a handy graph by ikawrakow comparing some lower-quality quant
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  types (lower is better):
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  | [GGUF](https://huggingface.co/mradermacher/Noro-Hermes-3x7B-GGUF/resolve/main/Noro-Hermes-3x7B.IQ4_XS.gguf) | IQ4_XS | 10.3 | |
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  | [GGUF](https://huggingface.co/mradermacher/Noro-Hermes-3x7B-GGUF/resolve/main/Noro-Hermes-3x7B.Q4_0.gguf) | Q4_0 | 10.7 | fast, low quality |
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  | [GGUF](https://huggingface.co/mradermacher/Noro-Hermes-3x7B-GGUF/resolve/main/Noro-Hermes-3x7B.Q4_K_S.gguf) | Q4_K_S | 10.8 | fast, recommended |
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+ | [GGUF](https://huggingface.co/mradermacher/Noro-Hermes-3x7B-GGUF/resolve/main/Noro-Hermes-3x7B.IQ4_NL.gguf) | IQ4_NL | 10.8 | prefer IQ4_XS |
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  | [GGUF](https://huggingface.co/mradermacher/Noro-Hermes-3x7B-GGUF/resolve/main/Noro-Hermes-3x7B.Q4_K_M.gguf) | Q4_K_M | 11.5 | fast, recommended |
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  | [GGUF](https://huggingface.co/mradermacher/Noro-Hermes-3x7B-GGUF/resolve/main/Noro-Hermes-3x7B.Q5_K_S.gguf) | Q5_K_S | 13.0 | |
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  | [GGUF](https://huggingface.co/mradermacher/Noro-Hermes-3x7B-GGUF/resolve/main/Noro-Hermes-3x7B.Q5_K_M.gguf) | Q5_K_M | 13.4 | |
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  | [GGUF](https://huggingface.co/mradermacher/Noro-Hermes-3x7B-GGUF/resolve/main/Noro-Hermes-3x7B.Q6_K.gguf) | Q6_K | 15.4 | very good quality |
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  | [GGUF](https://huggingface.co/mradermacher/Noro-Hermes-3x7B-GGUF/resolve/main/Noro-Hermes-3x7B.Q8_0.gguf) | Q8_0 | 19.9 | fast, best quality |
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  Here is a handy graph by ikawrakow comparing some lower-quality quant
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  types (lower is better):
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