Skill · em Dados, IA e pesquisa

axolotl

Expert guidance for fine-tuning LLMs with Axolotl - YAML configs, 100+ models, LoRA/QLoRA, DPO/KTO/ORPO/GRPO, multimodal support

Procedência

Antes de instalar

5 arquivos · 305,3 KB · só texto, nenhum script

Instalar na sua CLI

O comando baixa a versão fixada (commit 57f899e) direto da origem, para a pasta que a CLI lê. Precisa de curl (macOS e Linux); no Windows não há comando, porque o Rook Labs é para macOS.

Claude Code

Neste projeto: instala em .claude/skills/axolotl/.

d=".claude/skills/axolotl"
u="https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/cli-tool/components/skills/ai-research/fine-tuning-axolotl"
curl -fsSL --create-dirs \
  -o "$d/SKILL.md" "$u/SKILL.md" \
  -o "$d/references/api.md" "$u/references/api.md" \
  -o "$d/references/dataset-formats.md" "$u/references/dataset-formats.md" \
  -o "$d/references/index.md" "$u/references/index.md" \
  -o "$d/references/other.md" "$u/references/other.md"

Global: instala em ~/.claude/skills/axolotl/.

d="$HOME/.claude/skills/axolotl"
u="https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/cli-tool/components/skills/ai-research/fine-tuning-axolotl"
curl -fsSL --create-dirs \
  -o "$d/SKILL.md" "$u/SKILL.md" \
  -o "$d/references/api.md" "$u/references/api.md" \
  -o "$d/references/dataset-formats.md" "$u/references/dataset-formats.md" \
  -o "$d/references/index.md" "$u/references/index.md" \
  -o "$d/references/other.md" "$u/references/other.md"

Codex

Neste projeto: instala em .agents/skills/axolotl/.

d=".agents/skills/axolotl"
u="https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/cli-tool/components/skills/ai-research/fine-tuning-axolotl"
curl -fsSL --create-dirs \
  -o "$d/SKILL.md" "$u/SKILL.md" \
  -o "$d/references/api.md" "$u/references/api.md" \
  -o "$d/references/dataset-formats.md" "$u/references/dataset-formats.md" \
  -o "$d/references/index.md" "$u/references/index.md" \
  -o "$d/references/other.md" "$u/references/other.md"

Global: instala em ~/.agents/skills/axolotl/.

d="$HOME/.agents/skills/axolotl"
u="https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/cli-tool/components/skills/ai-research/fine-tuning-axolotl"
curl -fsSL --create-dirs \
  -o "$d/SKILL.md" "$u/SKILL.md" \
  -o "$d/references/api.md" "$u/references/api.md" \
  -o "$d/references/dataset-formats.md" "$u/references/dataset-formats.md" \
  -o "$d/references/index.md" "$u/references/index.md" \
  -o "$d/references/other.md" "$u/references/other.md"

Antigravity

Neste projeto: instala em .agents/skills/axolotl/.

d=".agents/skills/axolotl"
u="https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/cli-tool/components/skills/ai-research/fine-tuning-axolotl"
curl -fsSL --create-dirs \
  -o "$d/SKILL.md" "$u/SKILL.md" \
  -o "$d/references/api.md" "$u/references/api.md" \
  -o "$d/references/dataset-formats.md" "$u/references/dataset-formats.md" \
  -o "$d/references/index.md" "$u/references/index.md" \
  -o "$d/references/other.md" "$u/references/other.md"

Global: instala em ~/.gemini/antigravity-cli/skills/axolotl/.

d="$HOME/.gemini/antigravity-cli/skills/axolotl"
u="https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/cli-tool/components/skills/ai-research/fine-tuning-axolotl"
curl -fsSL --create-dirs \
  -o "$d/SKILL.md" "$u/SKILL.md" \
  -o "$d/references/api.md" "$u/references/api.md" \
  -o "$d/references/dataset-formats.md" "$u/references/dataset-formats.md" \
  -o "$d/references/index.md" "$u/references/index.md" \
  -o "$d/references/other.md" "$u/references/other.md"

Peça ao Rook

Já usa o Rook Labs? Cole no chat do Rook: instale a skill https://rooklabs.sh/marketplace/cct.axolotl

Prévia do SKILL.md

---
name: axolotl
description: Expert guidance for fine-tuning LLMs with Axolotl - YAML configs, 100+ models, LoRA/QLoRA, DPO/KTO/ORPO/GRPO, multimodal support
version: 1.0.0
author: Orchestra Research
license: MIT
tags: [Fine-Tuning, Axolotl, LLM, LoRA, QLoRA, DPO, KTO, ORPO, GRPO, YAML, HuggingFace, DeepSpeed, Multimodal]
dependencies: [axolotl, torch, transformers, datasets, peft, accelerate, deepspeed]
---

# 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
…

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