Text Generation
Transformers
GGUF
Safetensors
English
Safetensors
mistral
text-generation-inference
Merge
7b
mistralai/Mistral-7B-Instruct-v0.1
athirdpath/NSFW_DPO_Noromaid-7b
dataset:athirdpath/DPO_Pairs-Roleplay-Alpaca-NSFW-v2
dataset:athirdpath/DPO_Pairs-Roleplay-Alpaca-NSFW
Inference Endpoints
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Commit
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auto-patch README.md
Browse files
README.md
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@@ -56,14 +56,13 @@ more details, including on how to concatenate multi-part files.
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| [GGUF](https://huggingface.co/mradermacher/NSFW_DPO_Noromaid-7b-Mistral-7B-Instruct-v0.1-GGUF/resolve/main/NSFW_DPO_Noromaid-7b-Mistral-7B-Instruct-v0.1.IQ4_XS.gguf) | IQ4_XS | 4.2 | |
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| [GGUF](https://huggingface.co/mradermacher/NSFW_DPO_Noromaid-7b-Mistral-7B-Instruct-v0.1-GGUF/resolve/main/NSFW_DPO_Noromaid-7b-Mistral-7B-Instruct-v0.1.Q4_0.gguf) | Q4_0 | 4.4 | fast, low quality |
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| [GGUF](https://huggingface.co/mradermacher/NSFW_DPO_Noromaid-7b-Mistral-7B-Instruct-v0.1-GGUF/resolve/main/NSFW_DPO_Noromaid-7b-Mistral-7B-Instruct-v0.1.Q4_K_S.gguf) | Q4_K_S | 4.4 | fast, recommended |
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| [GGUF](https://huggingface.co/mradermacher/NSFW_DPO_Noromaid-7b-Mistral-7B-Instruct-v0.1-GGUF/resolve/main/NSFW_DPO_Noromaid-7b-Mistral-7B-Instruct-v0.1.IQ4_NL.gguf) | IQ4_NL | 4.4 |
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| [GGUF](https://huggingface.co/mradermacher/NSFW_DPO_Noromaid-7b-Mistral-7B-Instruct-v0.1-GGUF/resolve/main/NSFW_DPO_Noromaid-7b-Mistral-7B-Instruct-v0.1.Q4_K_M.gguf) | Q4_K_M | 4.6 | fast, recommended |
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| [GGUF](https://huggingface.co/mradermacher/NSFW_DPO_Noromaid-7b-Mistral-7B-Instruct-v0.1-GGUF/resolve/main/NSFW_DPO_Noromaid-7b-Mistral-7B-Instruct-v0.1.Q5_K_S.gguf) | Q5_K_S | 5.3 | |
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| [GGUF](https://huggingface.co/mradermacher/NSFW_DPO_Noromaid-7b-Mistral-7B-Instruct-v0.1-GGUF/resolve/main/NSFW_DPO_Noromaid-7b-Mistral-7B-Instruct-v0.1.Q5_K_M.gguf) | Q5_K_M | 5.4 | |
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| [GGUF](https://huggingface.co/mradermacher/NSFW_DPO_Noromaid-7b-Mistral-7B-Instruct-v0.1-GGUF/resolve/main/NSFW_DPO_Noromaid-7b-Mistral-7B-Instruct-v0.1.Q6_K.gguf) | Q6_K | 6.2 | very good quality |
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| [GGUF](https://huggingface.co/mradermacher/NSFW_DPO_Noromaid-7b-Mistral-7B-Instruct-v0.1-GGUF/resolve/main/NSFW_DPO_Noromaid-7b-Mistral-7B-Instruct-v0.1.Q8_0.gguf) | Q8_0 | 7.9 | 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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| [GGUF](https://huggingface.co/mradermacher/NSFW_DPO_Noromaid-7b-Mistral-7B-Instruct-v0.1-GGUF/resolve/main/NSFW_DPO_Noromaid-7b-Mistral-7B-Instruct-v0.1.IQ4_XS.gguf) | IQ4_XS | 4.2 | |
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| [GGUF](https://huggingface.co/mradermacher/NSFW_DPO_Noromaid-7b-Mistral-7B-Instruct-v0.1-GGUF/resolve/main/NSFW_DPO_Noromaid-7b-Mistral-7B-Instruct-v0.1.Q4_0.gguf) | Q4_0 | 4.4 | fast, low quality |
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| [GGUF](https://huggingface.co/mradermacher/NSFW_DPO_Noromaid-7b-Mistral-7B-Instruct-v0.1-GGUF/resolve/main/NSFW_DPO_Noromaid-7b-Mistral-7B-Instruct-v0.1.Q4_K_S.gguf) | Q4_K_S | 4.4 | fast, recommended |
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| [GGUF](https://huggingface.co/mradermacher/NSFW_DPO_Noromaid-7b-Mistral-7B-Instruct-v0.1-GGUF/resolve/main/NSFW_DPO_Noromaid-7b-Mistral-7B-Instruct-v0.1.IQ4_NL.gguf) | IQ4_NL | 4.4 | prefer IQ4_XS |
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| [GGUF](https://huggingface.co/mradermacher/NSFW_DPO_Noromaid-7b-Mistral-7B-Instruct-v0.1-GGUF/resolve/main/NSFW_DPO_Noromaid-7b-Mistral-7B-Instruct-v0.1.Q4_K_M.gguf) | Q4_K_M | 4.6 | fast, recommended |
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| [GGUF](https://huggingface.co/mradermacher/NSFW_DPO_Noromaid-7b-Mistral-7B-Instruct-v0.1-GGUF/resolve/main/NSFW_DPO_Noromaid-7b-Mistral-7B-Instruct-v0.1.Q5_K_S.gguf) | Q5_K_S | 5.3 | |
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| [GGUF](https://huggingface.co/mradermacher/NSFW_DPO_Noromaid-7b-Mistral-7B-Instruct-v0.1-GGUF/resolve/main/NSFW_DPO_Noromaid-7b-Mistral-7B-Instruct-v0.1.Q5_K_M.gguf) | Q5_K_M | 5.4 | |
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| [GGUF](https://huggingface.co/mradermacher/NSFW_DPO_Noromaid-7b-Mistral-7B-Instruct-v0.1-GGUF/resolve/main/NSFW_DPO_Noromaid-7b-Mistral-7B-Instruct-v0.1.Q6_K.gguf) | Q6_K | 6.2 | very good quality |
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| [GGUF](https://huggingface.co/mradermacher/NSFW_DPO_Noromaid-7b-Mistral-7B-Instruct-v0.1-GGUF/resolve/main/NSFW_DPO_Noromaid-7b-Mistral-7B-Instruct-v0.1.Q8_0.gguf) | Q8_0 | 7.9 | 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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