Initial SQL-only 1C adapter baseline
This commit is contained in:
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id: animagine-xl-4_0
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name: Animagine XL 4.0
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type: image-diffusion-model
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task:
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- image-generation
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language:
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- en
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- multilingual
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source: huggingface
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upstream_id: cagliostrolab/animagine-xl-4.0
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upstream_url: https://huggingface.co/cagliostrolab/animagine-xl-4.0
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license: openrail++
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status: candidate
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created_at: 2026-07-04
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storage_path: /models/image/animagine-xl-4.0
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format: diffusers
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quantization: fp16
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context_length: null
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vram_required_gb: 12
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parameters: null
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base_model: stabilityai/stable-diffusion-xl-base-1.0
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adapter_for: null
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datasets: []
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eval_suites: []
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deployment:
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target: docker-gpu.cin.su
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runtime: transformers
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served_model_name: animagine-xl-4
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notes: "Anime-focused SDXL finetune with Diffusers support on Hugging Face. Good fit for RTX 4090 and compatible with the current StableDiffusionXLPipeline-based image service."
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id: devstral-small-2-24b-instruct-2512-q4_k_m
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name: Devstral Small 2 24B Instruct 2512 GGUF Q4_K_M
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type: gguf-model
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task:
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- 1c
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- code
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- agentic-coding
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- text
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- tool-use
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language:
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- ru
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- en
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source: huggingface
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upstream_id: bartowski/mistralai_Devstral-Small-2-24B-Instruct-2512-GGUF
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upstream_url: https://huggingface.co/bartowski/mistralai_Devstral-Small-2-24B-Instruct-2512-GGUF
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license: apache-2.0
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status: candidate
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created_at: 2026-06-18
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storage_path: /models/gguf/1c/devstral-small-2-24b-instruct-2512-q4_k_m
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filename: mistralai_Devstral-Small-2-24B-Instruct-2512-Q4_K_M.gguf
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file_size_bytes: 14334438272
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format: gguf
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quantization: Q4_K_M
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context_length: null
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deployment_context_length: 32768
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vram_required_gb: null
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parameters: 24B
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base_model: mistralai/Devstral-Small-2-24B-Instruct-2512
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adapter_for: null
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datasets: []
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eval_suites:
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- plugins/1c/evals/smoke.yaml
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deployment:
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target: docker-gpu.cin.su
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runtime: llama.cpp
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served_model_name: devstral-1c-q4
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compose: core/deploy/docker-gpu/llama-cpp/compose.yaml
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notes: "GGUF Q4_K_M quant for 1C/code experiments. Loads on docker-gpu.cin.su with llama.cpp CUDA and uses GPU, but current llama.cpp server returns empty decoded content for chat/completion despite token generation. Runtime is experimental until a compatible template/runtime/quant is found."
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id: illustriousxl
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name: Illustrious XL
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type: image-diffusion-model
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task:
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- image-generation
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language:
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- en
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- multilingual
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source: huggingface
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upstream_id: glides/illustriousxl
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upstream_url: https://huggingface.co/glides/illustriousxl
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license: mit
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status: candidate
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created_at: 2026-07-04
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storage_path: /models/image/illustriousxl
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format: diffusers
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quantization: fp16
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context_length: null
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vram_required_gb: 12
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parameters: null
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base_model: stabilityai/stable-diffusion-xl-base-1.0
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adapter_for: null
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datasets: []
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eval_suites: []
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deployment:
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target: docker-gpu.cin.su
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runtime: transformers
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served_model_name: illustriousxl
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notes: "Stylized illustration / anime-oriented SDXL model with explicit StableDiffusionXLPipeline usage on Hugging Face. Useful as a third visual style alongside photorealism and pure anime."
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id: lmt-60-4b
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name: LMT-60 4B
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type: translation-model
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task:
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- translation
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language:
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- ru
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- en
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- multilingual
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source: huggingface
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upstream_id: NiuTrans/LMT-60-4B
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upstream_url: https://huggingface.co/NiuTrans/LMT-60-4B
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license: apache-2.0
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status: candidate
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created_at: 2026-06-19
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storage_path: /models/translation/lmt-60-4b
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format: safetensors
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quantization: none
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context_length: null
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vram_required_gb: null
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parameters: 4B
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base_model: null
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adapter_for: null
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datasets: []
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eval_suites: []
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deployment:
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target: docker-gpu.cin.su
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runtime: transformers
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served_model_name: lmt-60-4b
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notes: "Apache-2.0 multilingual translation candidate. Chosen over NLLB for fewer license restrictions while staying below larger 8B translation models."
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id: qwen-image-edit
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name: Qwen Image Edit
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type: image-diffusion-model
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task:
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- image-editing
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- inpainting
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- image-generation
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language:
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- ru
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- en
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- multilingual
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source: huggingface
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upstream_id: Qwen/Qwen-Image-Edit
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upstream_url: https://huggingface.co/Qwen/Qwen-Image-Edit
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license: apache-2.0
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status: candidate
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created_at: 2026-06-19
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storage_path: /models/image/qwen-image-edit
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format: diffusers
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quantization: bf16
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context_length: null
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vram_required_gb: 24
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parameters: 20B
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base_model: Qwen/Qwen-Image
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adapter_for: null
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datasets: []
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eval_suites: []
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deployment:
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target: docker-gpu.cin.su
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runtime: transformers
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served_model_name: qwen-image-edit
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notes: "Heavy image editing candidate with stronger text/rendering/editing capabilities than SDXL. On 2026-06-20 it loaded as QwenImageEditPipeline in about 31s on RTX 4090 with CPU offload, but a 512x512 1-step edit did not finish within 1800s. Keep it as an experimental/manual-switch model until a quantized runtime or larger GPU is available."
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@@ -0,0 +1,33 @@
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id: qwen2_5-vl-7b-instruct
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name: Qwen2.5-VL 7B Instruct
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type: vision-language-model
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task:
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- video
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- image-understanding
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- document-understanding
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- visual-question-answering
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language:
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- ru
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- en
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- multilingual
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source: huggingface
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upstream_id: Qwen/Qwen2.5-VL-7B-Instruct
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upstream_url: https://huggingface.co/Qwen/Qwen2.5-VL-7B-Instruct
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license: apache-2.0
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status: candidate
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created_at: 2026-06-19
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storage_path: /models/video/qwen2.5-vl-7b-instruct
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format: safetensors
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quantization: none
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context_length: null
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vram_required_gb: null
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parameters: 7B
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base_model: Qwen/Qwen2.5-VL
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adapter_for: null
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datasets: []
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eval_suites: []
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deployment:
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target: docker-gpu.cin.su
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runtime: transformers
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served_model_name: qwen2.5-vl-7b-instruct
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notes: "Video/image understanding candidate for the video plugin. Supports long-video understanding according to the model card."
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@@ -0,0 +1,38 @@
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id: qwen3-14b-instruct-q6_k
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name: Qwen3 14B Instruct GGUF Q6_K
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type: gguf-model
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task:
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- text
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- chat
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- summarization
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- code
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- tool-use
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- 1c-rag
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language:
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- ru
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- en
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- multilingual
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source: huggingface
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upstream_id: Qwen/Qwen3-14B-GGUF
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upstream_url: https://huggingface.co/Qwen/Qwen3-14B-GGUF
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license: apache-2.0
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status: candidate
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created_at: 2026-06-19
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storage_path: /models/gguf/text/qwen3-14b-instruct-q6_k
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filename: Qwen3-14B-Q6_K.gguf
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file_size_bytes: 12121937248
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format: gguf
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quantization: Q6_K
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context_length: 40960
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deployment_context_length: 16384
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vram_required_gb: 16
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parameters: 14.8B
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base_model: Qwen/Qwen3-14B
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adapter_for: null
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datasets: []
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eval_suites: []
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deployment:
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target: docker-gpu.cin.su
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runtime: llama.cpp
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served_model_name: qwen3-14b-q6
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notes: "Stronger general text/chat candidate than Qwen3 4B while still comfortable for a single RTX 4090 in GGUF Q6_K."
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@@ -0,0 +1,32 @@
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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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task:
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- 1c
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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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language:
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- ru
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source: local-training
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license: internal
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status: draft
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created_at: 2026-06-18
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storage_path: /models/adapters/1c/qwen3-4b-1c-lora-v1
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format: safetensors
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quantization: null
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context_length: 32768
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vram_required_gb: null
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parameters: null
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base_model: qwen3-4b-instruct-2507
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adapter_for: qwen3-4b-instruct-2507
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datasets:
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- plugins/1c/training/manifests/dataset.yaml
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eval_suites:
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- plugins/1c/evals/smoke.yaml
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deployment:
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target: docker-gpu.cin.su
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runtime: vllm
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served_model_name: qwen3-4b-1c
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notes: "Draft 1C LoRA adapter. Smoke training completed on docker-gpu.cin.su, then repeated with a 65-record synthetic/example dataset generated from 1C metadata and BSL snapshots; use it to validate the training/deployment pipeline, not as a quality 1C expert model until a real reviewed dataset is prepared."
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@@ -0,0 +1,37 @@
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id: qwen3-4b-instruct-2507
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name: Qwen3 4B Instruct 2507
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type: base-model
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task:
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- text
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- chat
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- summarization
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- code
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- tool-use
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||||
- 1c-rag
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||||
language:
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||||
- ru
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- en
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||||
source: huggingface
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upstream_id: Qwen/Qwen3-4B-Instruct-2507
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upstream_url: https://huggingface.co/Qwen/Qwen3-4B-Instruct-2507
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license: apache-2.0
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status: staging
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created_at: 2026-06-18
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storage_path: /models/base/qwen3-4b-instruct-2507
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format: safetensors
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quantization: none
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context_length: 262144
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deployment_context_length: 32768
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vram_required_gb: null
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parameters: 4B
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base_model: null
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adapter_for: null
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datasets: []
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eval_suites:
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- evals/text/smoke.yaml
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deployment:
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target: docker-gpu.cin.su
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runtime: vllm
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served_model_name: qwen3-4b-instruct
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compose: core/deploy/docker-gpu/vllm/compose.yaml
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notes: "First base text model for local inference. Start with 32K context to reduce OOM risk; increase after GPU VRAM is confirmed."
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@@ -0,0 +1,34 @@
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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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task:
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- 1c
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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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language:
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- ru
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source: local-training
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license: internal
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status: draft
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created_at: 2026-07-04
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storage_path: /models/adapters/1c/qwen3-coder-30b-a3b-1c-lora-v1
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format: safetensors
|
||||
quantization: null
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context_length: 262144
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vram_required_gb: null
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parameters: null
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base_model: qwen3-coder-30b-a3b-instruct
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adapter_for: qwen3-coder-30b-a3b-instruct
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datasets:
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- plugins/1c/training/manifests/dataset.yaml
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eval_suites:
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- plugins/1c/evals/smoke.yaml
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deployment:
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target: docker-gpu.cin.su
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runtime: llama.cpp
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served_model_name: qwen3-coder-1c-q6
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notes: "Draft adapter for the current Qwen3-Coder Q6 route. Train against the HF base, then convert or merge for the llama.cpp GGUF deployment used on docker-gpu.cin.su."
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@@ -0,0 +1,38 @@
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id: qwen3-coder-30b-a3b-instruct-q4_k_m
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name: Qwen3 Coder 30B A3B Instruct GGUF Q4_K_M
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type: gguf-model
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task:
|
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- 1c
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- code
|
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- agentic-coding
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||||
- repository-analysis
|
||||
- tool-use
|
||||
language:
|
||||
- ru
|
||||
- en
|
||||
source: huggingface
|
||||
upstream_id: lmstudio-community/Qwen3-Coder-30B-A3B-Instruct-GGUF
|
||||
upstream_url: https://huggingface.co/lmstudio-community/Qwen3-Coder-30B-A3B-Instruct-GGUF
|
||||
license: apache-2.0
|
||||
status: candidate
|
||||
created_at: 2026-06-19
|
||||
storage_path: /models/gguf/1c/qwen3-coder-30b-a3b-instruct-q4_k_m
|
||||
filename: Qwen3-Coder-30B-A3B-Instruct-Q4_K_M.gguf
|
||||
file_size_bytes: 18632186176
|
||||
format: gguf
|
||||
quantization: Q4_K_M
|
||||
context_length: 262144
|
||||
deployment_context_length: 32768
|
||||
vram_required_gb: null
|
||||
parameters: 30.5B total / 3.3B active
|
||||
base_model: Qwen/Qwen3-Coder-30B-A3B-Instruct
|
||||
adapter_for: null
|
||||
datasets: []
|
||||
eval_suites:
|
||||
- plugins/1c/evals/smoke.yaml
|
||||
deployment:
|
||||
target: docker-gpu.cin.su
|
||||
runtime: llama.cpp
|
||||
served_model_name: qwen3-coder-1c-q4
|
||||
compose: core/deploy/docker-gpu/llama-cpp/compose.yaml
|
||||
notes: "Best current candidate found for 1C/code experiments. Not 1C-specific, but strong for agentic coding, long context, repository-scale understanding, and tool workflows."
|
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@@ -0,0 +1,38 @@
|
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id: qwen3-coder-30b-a3b-instruct-q6_k
|
||||
name: Qwen3 Coder 30B A3B Instruct GGUF Q6_K
|
||||
type: gguf-model
|
||||
task:
|
||||
- 1c
|
||||
- code
|
||||
- agentic-coding
|
||||
- repository-analysis
|
||||
- tool-use
|
||||
language:
|
||||
- ru
|
||||
- en
|
||||
source: huggingface
|
||||
upstream_id: lmstudio-community/Qwen3-Coder-30B-A3B-Instruct-GGUF
|
||||
upstream_url: https://huggingface.co/lmstudio-community/Qwen3-Coder-30B-A3B-Instruct-GGUF
|
||||
license: apache-2.0
|
||||
status: candidate
|
||||
created_at: 2026-06-19
|
||||
storage_path: /models/gguf/1c/qwen3-coder-30b-a3b-instruct-q6_k
|
||||
filename: Qwen3-Coder-30B-A3B-Instruct-Q6_K.gguf
|
||||
file_size_bytes: 25104724288
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||||
format: gguf
|
||||
quantization: Q6_K
|
||||
context_length: 262144
|
||||
deployment_context_length: 8192
|
||||
vram_required_gb: null
|
||||
parameters: 30.5B total / 3.3B active
|
||||
base_model: Qwen/Qwen3-Coder-30B-A3B-Instruct
|
||||
adapter_for: null
|
||||
datasets: []
|
||||
eval_suites:
|
||||
- plugins/1c/evals/smoke.yaml
|
||||
deployment:
|
||||
target: docker-gpu.cin.su
|
||||
runtime: llama.cpp
|
||||
served_model_name: qwen3-coder-1c-q6
|
||||
compose: core/deploy/docker-gpu/llama-cpp/compose.yaml
|
||||
notes: "High-quality Q6_K quant for local 1C/code experiments on a single RTX 4090. Expected to require partial CPU/RAM offload or a short context because the GGUF file is larger than 24 GiB VRAM. Test first at 8K context, then 16K if stable."
|
||||
@@ -0,0 +1,35 @@
|
||||
id: qwen3-coder-30b-a3b-instruct
|
||||
name: Qwen3 Coder 30B A3B Instruct
|
||||
type: base-model
|
||||
task:
|
||||
- 1c
|
||||
- code
|
||||
- agentic-coding
|
||||
- repository-analysis
|
||||
- tool-use
|
||||
language:
|
||||
- ru
|
||||
- en
|
||||
source: huggingface
|
||||
upstream_id: Qwen/Qwen3-Coder-30B-A3B-Instruct
|
||||
upstream_url: https://huggingface.co/Qwen/Qwen3-Coder-30B-A3B-Instruct
|
||||
license: apache-2.0
|
||||
status: staging
|
||||
created_at: 2026-07-04
|
||||
storage_path: /models/base/qwen3-coder-30b-a3b-instruct
|
||||
format: safetensors
|
||||
quantization: none
|
||||
context_length: 262144
|
||||
deployment_context_length: 8192
|
||||
vram_required_gb: null
|
||||
parameters: 30.5B total / 3.3B active
|
||||
base_model: null
|
||||
adapter_for: null
|
||||
datasets: []
|
||||
eval_suites:
|
||||
- plugins/1c/evals/smoke.yaml
|
||||
deployment:
|
||||
target: docker-gpu.cin.su
|
||||
runtime: training
|
||||
served_model_name: qwen3-coder-30b-a3b-instruct
|
||||
notes: "Training base for the current local 1C/code route. Use this HF checkpoint for LoRA fine-tuning, then convert or merge adapters for the Q6 GGUF deployment."
|
||||
@@ -0,0 +1,33 @@
|
||||
id: qwen3-vl-8b-instruct
|
||||
name: Qwen3-VL 8B Instruct
|
||||
type: vision-language-model
|
||||
task:
|
||||
- video
|
||||
- image-understanding
|
||||
- document-understanding
|
||||
- visual-question-answering
|
||||
language:
|
||||
- ru
|
||||
- en
|
||||
- multilingual
|
||||
source: huggingface
|
||||
upstream_id: Qwen/Qwen3-VL-8B-Instruct
|
||||
upstream_url: https://huggingface.co/Qwen/Qwen3-VL-8B-Instruct
|
||||
license: apache-2.0
|
||||
status: candidate
|
||||
created_at: 2026-06-19
|
||||
storage_path: /models/video/qwen3-vl-8b-instruct
|
||||
format: safetensors
|
||||
quantization: none
|
||||
context_length: null
|
||||
vram_required_gb: 18
|
||||
parameters: 8B
|
||||
base_model: Qwen/Qwen3-VL
|
||||
adapter_for: null
|
||||
datasets: []
|
||||
eval_suites: []
|
||||
deployment:
|
||||
target: docker-gpu.cin.su
|
||||
runtime: transformers
|
||||
served_model_name: qwen3-vl-8b-instruct
|
||||
notes: "Newer vision-language candidate for image, document, and video understanding tests. Should be tested separately from large text/image models."
|
||||
@@ -0,0 +1,29 @@
|
||||
id: realvisxl-v5_0
|
||||
name: RealVisXL V5.0
|
||||
type: image-diffusion-model
|
||||
task:
|
||||
- image-generation
|
||||
language:
|
||||
- en
|
||||
- multilingual
|
||||
source: huggingface
|
||||
upstream_id: SG161222/RealVisXL_V5.0
|
||||
upstream_url: https://huggingface.co/SG161222/RealVisXL_V5.0
|
||||
license: openrail++
|
||||
status: candidate
|
||||
created_at: 2026-07-04
|
||||
storage_path: /models/image/realvisxl-v5.0
|
||||
format: diffusers
|
||||
quantization: fp16
|
||||
context_length: null
|
||||
vram_required_gb: 12
|
||||
parameters: null
|
||||
base_model: stabilityai/stable-diffusion-xl-base-1.0
|
||||
adapter_for: null
|
||||
datasets: []
|
||||
eval_suites: []
|
||||
deployment:
|
||||
target: docker-gpu.cin.su
|
||||
runtime: transformers
|
||||
served_model_name: realvisxl-v5
|
||||
notes: "Photorealistic SDXL finetune for local RTX 4090 image generation. The Hugging Face model card exposes Diffusers usage and targets photorealistic output."
|
||||
@@ -0,0 +1,29 @@
|
||||
id: sdxl-base-1_0
|
||||
name: Stable Diffusion XL Base 1.0
|
||||
type: image-diffusion-model
|
||||
task:
|
||||
- image-generation
|
||||
language:
|
||||
- en
|
||||
- multilingual
|
||||
source: huggingface
|
||||
upstream_id: stabilityai/stable-diffusion-xl-base-1.0
|
||||
upstream_url: https://huggingface.co/stabilityai/stable-diffusion-xl-base-1.0
|
||||
license: openrail++
|
||||
status: staging
|
||||
created_at: 2026-06-19
|
||||
storage_path: /models/image/sdxl-base-1.0
|
||||
format: diffusers
|
||||
quantization: fp16
|
||||
context_length: null
|
||||
vram_required_gb: 12
|
||||
parameters: null
|
||||
base_model: null
|
||||
adapter_for: null
|
||||
datasets: []
|
||||
eval_suites: []
|
||||
deployment:
|
||||
target: docker-gpu.cin.su
|
||||
runtime: transformers
|
||||
served_model_name: sdxl-image
|
||||
notes: "Diffusers SDXL text-to-image candidate for local photo generation on RTX 4090."
|
||||
@@ -0,0 +1,30 @@
|
||||
id: sdxl-inpainting-1_0
|
||||
name: Stable Diffusion XL Inpainting 1.0
|
||||
type: image-diffusion-model
|
||||
task:
|
||||
- image-editing
|
||||
- inpainting
|
||||
language:
|
||||
- en
|
||||
- multilingual
|
||||
source: huggingface
|
||||
upstream_id: diffusers/stable-diffusion-xl-1.0-inpainting-0.1
|
||||
upstream_url: https://huggingface.co/diffusers/stable-diffusion-xl-1.0-inpainting-0.1
|
||||
license: openrail++
|
||||
status: staging
|
||||
created_at: 2026-06-19
|
||||
storage_path: /models/image/sdxl-inpainting-1.0
|
||||
format: diffusers
|
||||
quantization: fp16
|
||||
context_length: null
|
||||
vram_required_gb: 12
|
||||
parameters: null
|
||||
base_model: stabilityai/stable-diffusion-xl-base-1.0
|
||||
adapter_for: null
|
||||
datasets: []
|
||||
eval_suites: []
|
||||
deployment:
|
||||
target: docker-gpu.cin.su
|
||||
runtime: transformers
|
||||
served_model_name: sdxl-image
|
||||
notes: "Diffusers SDXL inpainting candidate for local masked image editing."
|
||||
@@ -0,0 +1,32 @@
|
||||
id: whisper-large-v3-turbo-russian
|
||||
name: Whisper Large v3 Turbo Russian
|
||||
type: speech-model
|
||||
task:
|
||||
- speech-to-text
|
||||
- speech-translation
|
||||
language:
|
||||
- ru
|
||||
source: huggingface
|
||||
upstream_id: dvislobokov/whisper-large-v3-turbo-russian
|
||||
upstream_url: https://huggingface.co/dvislobokov/whisper-large-v3-turbo-russian
|
||||
license: mit
|
||||
status: candidate
|
||||
created_at: 2026-06-19
|
||||
storage_path: /models/audio/whisper-large-v3-turbo-russian
|
||||
format: safetensors
|
||||
quantization: none
|
||||
filename: model.safetensors
|
||||
file_size_bytes: 3235581408
|
||||
context_length: null
|
||||
vram_required_gb: 6
|
||||
parameters: null
|
||||
base_model: openai/whisper-large-v3-turbo
|
||||
adapter_for: null
|
||||
datasets:
|
||||
- Mozilla Common Voice 17
|
||||
eval_suites: []
|
||||
deployment:
|
||||
target: docker-gpu.cin.su
|
||||
runtime: transformers
|
||||
served_model_name: whisper-large-v3-turbo-russian
|
||||
notes: "Russian fine-tuned Whisper turbo candidate for comparing Russian ASR quality against the base multilingual Whisper turbo."
|
||||
@@ -0,0 +1,33 @@
|
||||
id: whisper-large-v3-turbo
|
||||
name: Whisper Large v3 Turbo
|
||||
type: speech-model
|
||||
task:
|
||||
- speech-to-text
|
||||
- speech-translation
|
||||
language:
|
||||
- ru
|
||||
- en
|
||||
- multilingual
|
||||
source: huggingface
|
||||
upstream_id: openai/whisper-large-v3-turbo
|
||||
upstream_url: https://huggingface.co/openai/whisper-large-v3-turbo
|
||||
license: mit
|
||||
status: candidate
|
||||
created_at: 2026-06-19
|
||||
storage_path: /models/audio/whisper-large-v3-turbo
|
||||
format: safetensors
|
||||
quantization: none
|
||||
filename: model.safetensors
|
||||
file_size_bytes: 1617824864
|
||||
context_length: null
|
||||
vram_required_gb: null
|
||||
parameters: null
|
||||
base_model: openai/whisper-large-v3
|
||||
adapter_for: null
|
||||
datasets: []
|
||||
eval_suites: []
|
||||
deployment:
|
||||
target: docker-gpu.cin.su
|
||||
runtime: transformers
|
||||
served_model_name: whisper-large-v3-turbo
|
||||
notes: "ASR and speech translation model for the audio plugin."
|
||||
Reference in New Issue
Block a user