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README.md
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license: apache-2.0
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They still need training/finetuning.
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8.4gb custom 2bit quant works ok up until 512 token length then starts looping.
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Install llama.cpp from github
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```bash
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```
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license: apache-2.0
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** Experimental quants of 4 expert MoE mixtrals in various GGUF formats. **
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** Goal is to have the best performing MoE < 10gb **
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They still need training/finetuning.
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* * No sparsity tricks yet. * *
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8.4gb custom 2bit quant works ok up until 512 token length then starts looping.
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Install llama.cpp from github and run it
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```bash
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git clone https://github.com/ggerganov/llama.cpp
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cd llama.cpp
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make -j
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wget https://huggingface.co/nisten/quad-mixtrals-gguf/resolve/main/4mixq2.gguf
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./server -m 4mixq2.gguf --host "ec2-3-99-206-122.ca-central-1.compute.amazonaws.com" -c 512
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```
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