Initial SQL-only 1C adapter baseline

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# 1C Adapters
Здесь описываются LoRA/adapters для 1С.
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
name: Qwen3 4B 1C LoRA v1
type: lora-adapter
status: draft
base_model: qwen3-4b-instruct-2507
base_model_upstream_id: Qwen/Qwen3-4B-Instruct-2507
dataset: 1c-instruction-v1
target_tasks:
- bsl-code
- metadata-safety
- 1c-query
- explanation
storage_path: /models/adapters/1c/qwen3-4b-1c-lora-v1
training:
method: lora
framework: peft
precision: qlora-or-lora
status: smoke-trained
trained_at: 2026-06-19
host: docker-gpu.cin.su
notes:
- smoke training completed with 65 synthetic/example records to validate the pipeline
- production-quality adapter still requires a larger reviewed 1C dataset
eval_suites:
- plugins/1c/evals/smoke.yaml
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
name: Qwen3 Coder 30B A3B 1C LoRA v1
type: lora-adapter
status: draft
base_model: qwen3-coder-30b-a3b-instruct
base_model_upstream_id: Qwen/Qwen3-Coder-30B-A3B-Instruct
dataset: 1c-instruction-v1
target_tasks:
- bsl-code
- metadata-safety
- metadata-write-verified
- metadata-write-learning-plan
- 1c-query
- explanation
storage_path: /models/adapters/1c/qwen3-coder-30b-a3b-1c-lora-v1
training:
method: lora
framework: peft
precision: qlora-or-lora
status: planned
target_runtime_family: llama.cpp-q6
host: docker-gpu.cin.su
notes:
- adapter is trained against the original HF Qwen3-Coder base, not directly against the GGUF file
- after training, convert the adapter for llama.cpp or merge it before producing a new GGUF deployment artifact
eval_suites:
- plugins/1c/evals/smoke.yaml
notes: "Primary 1C adapter line for the current Qwen3-Coder Q6 deployment family."