model: add llama 4 scaling for mistral-large (deepseek arch)#17744
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ngxson merged 1 commit intoggml-org:masterfrom Dec 7, 2025
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model: add llama 4 scaling for mistral-large (deepseek arch)#17744ngxson merged 1 commit intoggml-org:masterfrom
ngxson merged 1 commit intoggml-org:masterfrom
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CISC
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I cherry-picked this commit onto the current latest master 08f9d3c and loaded a 4.94bpw quant of Mistral Large 3 675B Instruct with 32k sequence length, and it does produce coherent text both on a short prompt of 1.5k tokens and a longer prompt of around 19k tokens. |
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@DocShotgun thanks for testing, I guess it's good to merge then |
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Cont #17730
This should allow Mistral Large to go past 16K context length (hopefully, someone with enough VRAM can verify if this works or not)