Skill · em Dados, IA e pesquisa

implementing-llms-litgpt

Implements and trains LLMs using Lightning AI's LitGPT with 20+ pretrained architectures (Llama, Gemma, Phi, Qwen, Mistral). Use when need clean model implementations, educational understanding of architectures, or production fine-tuning with LoRA/QLoRA. Single-file implementations, no abstraction…

Procedência

Antes de instalar

5 arquivos · 55,3 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/implementing-llms-litgpt/.

d=".claude/skills/implementing-llms-litgpt"
u="https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/cli-tool/components/skills/ai-research/model-architecture-litgpt"
curl -fsSL --create-dirs \
  -o "$d/SKILL.md" "$u/SKILL.md" \
  -o "$d/references/custom-models.md" "$u/references/custom-models.md" \
  -o "$d/references/distributed-training.md" "$u/references/distributed-training.md" \
  -o "$d/references/supported-models.md" "$u/references/supported-models.md" \
  -o "$d/references/training-recipes.md" "$u/references/training-recipes.md"

Global: instala em ~/.claude/skills/implementing-llms-litgpt/.

d="$HOME/.claude/skills/implementing-llms-litgpt"
u="https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/cli-tool/components/skills/ai-research/model-architecture-litgpt"
curl -fsSL --create-dirs \
  -o "$d/SKILL.md" "$u/SKILL.md" \
  -o "$d/references/custom-models.md" "$u/references/custom-models.md" \
  -o "$d/references/distributed-training.md" "$u/references/distributed-training.md" \
  -o "$d/references/supported-models.md" "$u/references/supported-models.md" \
  -o "$d/references/training-recipes.md" "$u/references/training-recipes.md"

Codex

Neste projeto: instala em .agents/skills/implementing-llms-litgpt/.

d=".agents/skills/implementing-llms-litgpt"
u="https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/cli-tool/components/skills/ai-research/model-architecture-litgpt"
curl -fsSL --create-dirs \
  -o "$d/SKILL.md" "$u/SKILL.md" \
  -o "$d/references/custom-models.md" "$u/references/custom-models.md" \
  -o "$d/references/distributed-training.md" "$u/references/distributed-training.md" \
  -o "$d/references/supported-models.md" "$u/references/supported-models.md" \
  -o "$d/references/training-recipes.md" "$u/references/training-recipes.md"

Global: instala em ~/.agents/skills/implementing-llms-litgpt/.

d="$HOME/.agents/skills/implementing-llms-litgpt"
u="https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/cli-tool/components/skills/ai-research/model-architecture-litgpt"
curl -fsSL --create-dirs \
  -o "$d/SKILL.md" "$u/SKILL.md" \
  -o "$d/references/custom-models.md" "$u/references/custom-models.md" \
  -o "$d/references/distributed-training.md" "$u/references/distributed-training.md" \
  -o "$d/references/supported-models.md" "$u/references/supported-models.md" \
  -o "$d/references/training-recipes.md" "$u/references/training-recipes.md"

Antigravity

Neste projeto: instala em .agents/skills/implementing-llms-litgpt/.

d=".agents/skills/implementing-llms-litgpt"
u="https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/cli-tool/components/skills/ai-research/model-architecture-litgpt"
curl -fsSL --create-dirs \
  -o "$d/SKILL.md" "$u/SKILL.md" \
  -o "$d/references/custom-models.md" "$u/references/custom-models.md" \
  -o "$d/references/distributed-training.md" "$u/references/distributed-training.md" \
  -o "$d/references/supported-models.md" "$u/references/supported-models.md" \
  -o "$d/references/training-recipes.md" "$u/references/training-recipes.md"

Global: instala em ~/.gemini/antigravity-cli/skills/implementing-llms-litgpt/.

d="$HOME/.gemini/antigravity-cli/skills/implementing-llms-litgpt"
u="https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/cli-tool/components/skills/ai-research/model-architecture-litgpt"
curl -fsSL --create-dirs \
  -o "$d/SKILL.md" "$u/SKILL.md" \
  -o "$d/references/custom-models.md" "$u/references/custom-models.md" \
  -o "$d/references/distributed-training.md" "$u/references/distributed-training.md" \
  -o "$d/references/supported-models.md" "$u/references/supported-models.md" \
  -o "$d/references/training-recipes.md" "$u/references/training-recipes.md"

Peça ao Rook

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

Prévia do SKILL.md

---
name: implementing-llms-litgpt
description: Implements and trains LLMs using Lightning AI's LitGPT with 20+ pretrained architectures (Llama, Gemma, Phi, Qwen, Mistral). Use when need clean model implementations, educational understanding of architectures, or production fine-tuning with LoRA/QLoRA. Single-file implementations, no abstraction layers.
version: 1.0.0
author: Orchestra Research
license: MIT
tags: [Model Architecture, LitGPT, Lightning AI, LLM Implementation, LoRA, QLoRA, Fine-Tuning, Llama, Gemma, Phi, Mistral, Educational]
dependencies: [litgpt, torch, transformers]
---

# LitGPT - Clean LLM Implementations

## Quick start

LitGPT provides 20+ pretrained LLM implementations with clean, readable code and production-ready training workflows.

**Installation**:
```bash
pip install 'litgpt[extra]'
```

**Load and use any model**:
```python
from litgpt import LLM

# Load pretrained model
llm = LLM.load("microsoft/phi-2")

# Generate text
result = llm.generate(
    "What is the capital of France?",
    max_new_tokens=50,
    temperature=0.7
)
print(result)
```

**List available models**:
```bash
litgpt download list
…

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