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Original model: https://huggingface.co/cognitivecomputations/Dolphin-Mistral-24B-Venice-Edition All quants made using imatrix option with dataset from here Run them directly with llama.cpp, or any other llama.cpp based project
Original model: https://huggingface.co/cognitivecomputations/Dolphin3.0-Mistral-24B All quants made using imatrix option with dataset from here Run them directly with llama.cpp, or any other llama.cpp based project
Some of these quants (Q3_K_XL, Q4_K_L etc) are the standard quantization method with the embeddings and output weights quantized to Q8_0 instead of what they would normally default to. If the model is bigger than 50GB, it will have been split into multiple files. In order to download them all to a local folder, run: You can either specify a new local-dir (cognitivecomputations_Dolphin3.0-R1-Mistral-24B-Q8_0) or download them all in place (./)
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**Model details:** - Parameter count: 71B - Input support: text - Speculative decoding: no - imatrix: yes - details **Don't know which to choose?** Grab Q4_K_M (43.97GB) - usually a good mix of size and performance. Download instructions available here The files marked `true` in the Split column above are stored as multiple parts in a folder. To download all the parts to a local folder, run:
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