OpenAI's model connecting vision and language. Enables zero-shot image classification, image-text matching, and cross-modal retrieval. Trained on 400M image-text pairs. Use for image search, content moderation, or vision-language tasks without fine-tuning. Best for general-purpose image understanding.
Control LLM output with regex and grammars, guarantee valid JSON/XML/code generation, enforce structured formats, and build multi-step workflows with Guidance - Microsoft Research's constrained generation framework
Outlines: structured JSON/regex/Pydantic LLM generation.
Expert guidance for Fully Sharded Data Parallel training with PyTorch FSDP - parameter sharding, mixed precision, CPU offloading, FSDP2
OpenAI's general-purpose speech recognition model. Supports 99 languages, transcription, translation to English, and language identification. Six model sizes from tiny (39M params) to large (1550M params). Use for speech-to-text, podcast transcription, or multilingual audio processing. Best for robust, multilingual ASR.
| name | unsloth |
| description | Unsloth: 2-5x faster LoRA/QLoRA fine-tuning, less VRAM. |
| version | 1.0.0 |
| author | Orchestra Research |
| license | MIT |
| dependencies | ["unsloth","torch","transformers","trl","datasets","peft"] |
| platforms | ["linux","macos"] |
| metadata | {"hermes":{"tags":["Fine-Tuning","Unsloth","Fast Training","LoRA","QLoRA","Memory-Efficient","Optimization","Llama","Mistral","Gemma","Qwen"]}} |
Comprehensive assistance with unsloth development, generated from official documentation.
This skill should be triggered when:
Quick reference patterns will be added as you use the skill.
This skill includes comprehensive documentation in references/:
Use view to read specific reference files when detailed information is needed.
Start with the getting_started or tutorials reference files for foundational concepts.
Use the appropriate category reference file (api, guides, etc.) for detailed information.
The quick reference section above contains common patterns extracted from the official docs.
Organized documentation extracted from official sources. These files contain:
Add helper scripts here for common automation tasks.
Add templates, boilerplate, or example projects here.
To refresh this skill with updated documentation: