54 lines
1.8 KiB
Markdown
54 lines
1.8 KiB
Markdown
# Dirk Qwen3.8-27B experiment
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Isolated A/B test environment for
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`peculiar-ragdoll/Dirk-Qwen3.8-27B-GGUF`. It deliberately does not add a
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production router profile and never stops or restarts production services.
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## Candidate
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- Main model: `Dirk-Qwen3.8-27B-UD-Q4_K_XL.gguf` (about 17.6 GB)
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- Vision projector: `mmproj-F16.gguf`
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- Pinned Hugging Face revision: `12362f2b3d7dc11044e99c9e7e99fb9f530528c0`
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- Runtime: existing `mike-ai/llama.cpp:local`
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- Test endpoint: `127.0.0.1:5004`
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- Results: `/data/benchmarks/dirk-qwen38/`
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The candidate is intended to reduce unnecessary reasoning and total token use;
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it is not expected to improve raw decode speed. The production Qwen model is
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therefore the mandatory A/B reference.
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## Safety boundary
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`run-case.sh` refuses to start while any production `mike-ai-llama-*` model
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container is running. It does not stop production itself. The model server is
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bound to loopback only and cannot be reached from the LAN.
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## Measured matrix
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Run the following only after the GPUs have explicitly been declared free:
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```sh
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./run-case.sh 80000 87,13 text
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./run-case.sh 160000 80,20 text
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./run-case.sh 192000 72,28 text
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./run-case.sh 262144 70,30 text
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```
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The largest stable context is determined first. Vision is checked only after a
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text winner exists:
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```sh
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./run-case.sh 160000 80,20 vision
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```
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For every case, record uncached prefill, cached prefill, decode throughput,
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GPU memory, context recall, tool calling, code quality and total tokens needed
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to finish the task. Do not promote Dirk unless it matches the base model on
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technical correctness and improves real Hermes task completion.
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Expected SHA-256 checksums are stored in `MODEL_ARTIFACTS.sha256`.
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The completed A/B result is documented in
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`docs/DIRK_QWEN38_AB_20260901.md`. The candidate did not replace the production
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Pure Qwen profile.
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