mradermacher
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NeuralMiLLaMa-8B-slerp-GGUF

NousResearch/Meta-Llama-3-8B-Instruct

elinas/Llama-3-8B-Ultra-Instruct

mlabonne/ChimeraLlama-3-8B-v3

nvidia/Llama3-ChatQA-1.5-8B

Kukedlc/SmartLlama-3-8B-MS-v0.1

Inference Endpoints

Model card Files Files and versions Community

mradermacher commited on May 5

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@@ -53,7 +53,6 @@ more details, including on how to concatenate multi-part files.
 | [GGUF](https://huggingface.co/mradermacher/NeuralMiLLaMa-8B-slerp-GGUF/resolve/main/NeuralMiLLaMa-8B-slerp.Q8_0.gguf) | Q8_0 | 8.6 | fast, best quality |
 | [GGUF](https://huggingface.co/mradermacher/NeuralMiLLaMa-8B-slerp-GGUF/resolve/main/NeuralMiLLaMa-8B-slerp.f16.gguf) | f16 | 16.2 | 16 bpw, overkill |
 Here is a handy graph by ikawrakow comparing some lower-quality quant
 types (lower is better):

 | [GGUF](https://huggingface.co/mradermacher/NeuralMiLLaMa-8B-slerp-GGUF/resolve/main/NeuralMiLLaMa-8B-slerp.Q8_0.gguf) | Q8_0 | 8.6 | fast, best quality |
 | [GGUF](https://huggingface.co/mradermacher/NeuralMiLLaMa-8B-slerp-GGUF/resolve/main/NeuralMiLLaMa-8B-slerp.f16.gguf) | f16 | 16.2 | 16 bpw, overkill |
 Here is a handy graph by ikawrakow comparing some lower-quality quant
 types (lower is better):