Initial SQL-only 1C adapter baseline
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# 1C Adapters
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Здесь описываются LoRA/adapters для 1С.
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Файлы адаптеров не хранятся в git. Для каждой версии адаптера должна быть model card в `registry/model-cards`.
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id: qwen3-4b-1c-lora-v1
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name: Qwen3 4B 1C LoRA v1
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type: lora-adapter
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status: draft
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base_model: qwen3-4b-instruct-2507
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base_model_upstream_id: Qwen/Qwen3-4B-Instruct-2507
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dataset: 1c-instruction-v1
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target_tasks:
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- bsl-code
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- metadata-safety
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- 1c-query
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- explanation
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storage_path: /models/adapters/1c/qwen3-4b-1c-lora-v1
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training:
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method: lora
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framework: peft
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precision: qlora-or-lora
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status: smoke-trained
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trained_at: 2026-06-19
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host: docker-gpu.cin.su
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notes:
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- smoke training completed with 65 synthetic/example records to validate the pipeline
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- production-quality adapter still requires a larger reviewed 1C dataset
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eval_suites:
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- plugins/1c/evals/smoke.yaml
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notes: "Draft adapter manifest. Current adapter is useful for pipeline validation; prepare reviewed metadata, BSL, query, and troubleshooting examples before promoting it."
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id: qwen3-coder-30b-a3b-1c-lora-v1
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name: Qwen3 Coder 30B A3B 1C LoRA v1
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type: lora-adapter
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status: draft
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base_model: qwen3-coder-30b-a3b-instruct
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base_model_upstream_id: Qwen/Qwen3-Coder-30B-A3B-Instruct
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dataset: 1c-instruction-v1
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target_tasks:
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- bsl-code
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- metadata-safety
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- metadata-write-verified
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- metadata-write-learning-plan
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- 1c-query
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- explanation
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storage_path: /models/adapters/1c/qwen3-coder-30b-a3b-1c-lora-v1
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training:
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method: lora
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framework: peft
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precision: qlora-or-lora
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status: planned
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target_runtime_family: llama.cpp-q6
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host: docker-gpu.cin.su
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notes:
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- adapter is trained against the original HF Qwen3-Coder base, not directly against the GGUF file
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- after training, convert the adapter for llama.cpp or merge it before producing a new GGUF deployment artifact
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eval_suites:
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- plugins/1c/evals/smoke.yaml
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notes: "Primary 1C adapter line for the current Qwen3-Coder Q6 deployment family."
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