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Expert guidance for fine-tuning LLMs with LLaMA-Factory - WebUI no-code, 100+ models, 2/3/4/5/6/8-bit QLoRA, multimodal support
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npx skills add https://github.com/synthetic-sciences/openscience --skill llama-factoryコマンドは1行のまま表示されます。コピー前に横へスクロールして全体を確認してください。
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Diffusion-based molecular docking. Predict protein-ligand binding poses from PDB/SMILES, confidence scores, virtual screening, for structure-based drug design. Not for affinity prediction.
Fast inference and fine-tuning platform with serverless and on-demand GPU deployments. OpenAI-compatible API for chat completions, embeddings, function calling, vision, and structured output. Supports SFT, DPO, and RL fine-tuning. SOC2 + HIPAA compliant.
Serverless inference, fine-tuning, embeddings, image generation, and batch processing on 200+ open-source models via an OpenAI-compatible API. Use when you need fast, cost-effective access to open-source LLMs without managing infrastructure.
SOC 職業分類に基づく
SKILL.md を表示中
| name | llama-factory |
| description | Expert guidance for fine-tuning LLMs with LLaMA-Factory - WebUI no-code, 100+ models, 2/3/4/5/6/8-bit QLoRA, multimodal support |
| category | ml-training |
| version | 1.0.0 |
| author | Synthetic Sciences |
| license | MIT |
| tags | ["Fine-Tuning","LLaMA Factory","LLM","WebUI","No-Code","QLoRA","LoRA","Multimodal","HuggingFace","Llama","Qwen","Gemma"] |
| dependencies | ["llmtuner","torch","transformers","datasets","peft","accelerate","gradio"] |
Comprehensive assistance with llama-factory development, generated from official documentation.
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