axolotl
Expert guidance for fine-tuning LLMs with Axolotl - YAML configs, 100+ models, LoRA/QLoRA, DPO/KTO/ORPO/GRPO, multimodal support
npx skills add Orchestra-Research/AI-Research-SKILLs --skill axolotl --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Axolotl Skill Comprehensive assistance with axolotl development, generated from official documentation. ## When to Use This Skill This skill should be triggered when: - Working with axolotl - Asking about axolotl features or APIs - Implementing axolotl solutions - Debugging axolotl code - Learning axolotl best practices ## Quick Reference ### Common Patterns **Pattern 1:** To validate that acceptable data transfer speeds exist for your training job, running NCCL Tests can help pinpoint bottlenecks, for example: ``` ./build/all_reduce_perf -b 8 -e 128M -f 2 -g 3 ``` **Pattern 2:** Configure your model to use FSDP in the Axolotl yaml. For example: ``` fsdp_version: 2 fsdp_config: offload_params: true state_dict_type: FULL_STATE_DICT auto_wrap_policy: TRANSFORMER_BASED_WRAP transformer_layer_cls_to_wrap: LlamaDecoderLayer reshard_after_forward: true ``` **Pattern 3:** The context_parallel_size should be a divisor of the total number of GPUs. For example: ``` context_parallel_size ``` **Pattern 4:** For example: - With 8 GPUs and no sequence parallelism: 8 different batches processed per step - With 8 GPUs and context_parallel_size=4: Only 2 different batches processed per step (each
- When to Use This Skill
- Quick Reference
- Common Patterns
- Example Code Patterns
- Reference Files
- Working with This Skill
- For Beginners
- For Specific Features
- For Code Examples
- Resources
- references/
- scripts/
- assets/
- Notes
What does the axolotl skill do?
Expert guidance for fine-tuning LLMs with Axolotl - YAML configs, 100+ models, LoRA/QLoRA, DPO/KTO/ORPO/GRPO, multimodal support
How do I install it?
Run `npx skills add Orchestra-Research/AI-Research-SKILLs --skill axolotl --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From Orchestra-Research/AI-Research-SKILLs, a repository with 11,391 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.