Replace MTP with draft-dflash and a separate DFlash2 drafter GGUF. Remove the qwen-classifier backend to free VRAM (GPU was at 100%). Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>
60 lines
1.8 KiB
Markdown
60 lines
1.8 KiB
Markdown
# LLM-Server
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A self-hosted inference stack: local models served on one GPU machine, reached by other tools through a single authenticated entry point. This file is a glossary only — for how things are configured, follow the links in the docs to the source.
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## Language
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### Machine
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**Server**:
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The one machine that runs the stack.
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_Avoid_: AI box, R9700 box, this machine
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**Host**:
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The Docker host, as opposed to a container — only used for that distinction.
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_Avoid_: using it as a synonym for Server
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### Serving models
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**Backend**:
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A model server process that serves one model to the gateway (`llama-server`).
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_Avoid_: provider, model server
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**Slot**:
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One concurrent request lane inside a backend; a backend handles as many requests at once as it has slots.
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_Avoid_: parallel request, lane
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**Main model**:
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The large model that does the actual work for workloads.
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_Avoid_: chat model
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**Draft model**:
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The small speculative-decoding drafter that runs beside the main model inside `llama-server` (DFlash2).
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_Avoid_: classifier model (the separate classifier backend was removed)
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### Reaching the models
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**Gateway**:
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The single entry point every model call goes through (OmniRoute).
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_Avoid_: proxy, AI proxy
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**Provider connection**:
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The gateway's registration of one backend.
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_Avoid_: provider (alone), connection (alone)
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**API key**:
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A credential issued by the gateway to exactly one workload.
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_Avoid_: virtual key, workload key
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**Workload**:
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Anything that calls the gateway with its own API key.
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_Avoid_: client, consumer
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**Coding CLI**:
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A workload that is an interactive coding agent (Claude Code, Kimi CLI, OpenCode, Qwen Code).
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_Avoid_: harness
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**Reverse proxy**:
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The existing Nginx Proxy Manager instance that publishes the gateway under hostnames; not part of this stack.
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_Avoid_: proxy (alone)
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