Give the MTP llama-server 4 parallel slots instead of 1
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With -np 1, open-webui's browser chat and the voice assistant (and anything else hitting this OpenAI-compatible endpoint) contended for a single slot -- whichever touched it last evicted the other's live KV cache, forcing a multi-second full prompt reprocess on the next request from the loser. n_ctx_slot = n_ctx / n_parallel, so ctx is quadrupled to 131072 (this model's native n_ctx_train) to keep each of the 4 slots at the same 32768 budget as before. Measured KV cache cost is only 271 MiB per slot, so this only costs ~810 MiB more VRAM than the old config. Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
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@@ -25,8 +25,21 @@ services:
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# was raised to match the README since Gemma-4's hybrid SWA
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# architecture (most layers use a small fixed attention window, only
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# every 5th layer is full-context) keeps KV cache growth with n_ctx
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# much cheaper than a plain transformer's.
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- 'MTP_CTX_SIZE=32768'
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# much cheaper than a plain transformer's -- measured at only 271 MiB
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# of KV cache (target + draft) per 32768-token slot.
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#
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# -np 4 gives open-webui's browser chat and the voice assistant (and
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# anything else hitting this OpenAI-compatible endpoint) their own
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# slot each instead of one contending for a single shared slot --
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# with -np 1, whichever of them touched the slot last would evict the
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# other's live KV cache, forcing a full prompt reprocess (multi-second
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# stall) on the next request from the loser. n_ctx_slot = n_ctx /
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# n_parallel, so total ctx is quadrupled to keep each slot at the same
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# 32768 budget as before -- 131072 matches this model's native
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# n_ctx_train exactly, and only costs ~810 MiB more KV cache VRAM
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# than the old -np 1 config (still well under the ~7GB that's free).
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- 'MTP_CTX_SIZE=131072'
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- 'MTP_N_PARALLEL=4'
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- 'MTP_BATCH_SIZE=512'
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# Server-side default -- only applies when the client doesn't send its
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# own temperature (Open WebUI won't unless you set it in the model's
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