Skill · em Dados, IA e pesquisa

model-merging

Merge multiple fine-tuned models using mergekit to combine capabilities without retraining. Use when creating specialized models by blending domain-specific expertise (math + coding + chat), improving performance beyond single models, or experimenting rapidly with model variants. Covers SLERP,…

Procedência

Antes de instalar

4 arquivos · 41,5 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/model-merging/.

d=".claude/skills/model-merging"
u="https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/cli-tool/components/skills/ai-research/emerging-techniques-model-merging"
curl -fsSL --create-dirs \
  -o "$d/SKILL.md" "$u/SKILL.md" \
  -o "$d/references/evaluation.md" "$u/references/evaluation.md" \
  -o "$d/references/examples.md" "$u/references/examples.md" \
  -o "$d/references/methods.md" "$u/references/methods.md"

Global: instala em ~/.claude/skills/model-merging/.

d="$HOME/.claude/skills/model-merging"
u="https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/cli-tool/components/skills/ai-research/emerging-techniques-model-merging"
curl -fsSL --create-dirs \
  -o "$d/SKILL.md" "$u/SKILL.md" \
  -o "$d/references/evaluation.md" "$u/references/evaluation.md" \
  -o "$d/references/examples.md" "$u/references/examples.md" \
  -o "$d/references/methods.md" "$u/references/methods.md"

Codex

Neste projeto: instala em .agents/skills/model-merging/.

d=".agents/skills/model-merging"
u="https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/cli-tool/components/skills/ai-research/emerging-techniques-model-merging"
curl -fsSL --create-dirs \
  -o "$d/SKILL.md" "$u/SKILL.md" \
  -o "$d/references/evaluation.md" "$u/references/evaluation.md" \
  -o "$d/references/examples.md" "$u/references/examples.md" \
  -o "$d/references/methods.md" "$u/references/methods.md"

Global: instala em ~/.agents/skills/model-merging/.

d="$HOME/.agents/skills/model-merging"
u="https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/cli-tool/components/skills/ai-research/emerging-techniques-model-merging"
curl -fsSL --create-dirs \
  -o "$d/SKILL.md" "$u/SKILL.md" \
  -o "$d/references/evaluation.md" "$u/references/evaluation.md" \
  -o "$d/references/examples.md" "$u/references/examples.md" \
  -o "$d/references/methods.md" "$u/references/methods.md"

Antigravity

Neste projeto: instala em .agents/skills/model-merging/.

d=".agents/skills/model-merging"
u="https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/cli-tool/components/skills/ai-research/emerging-techniques-model-merging"
curl -fsSL --create-dirs \
  -o "$d/SKILL.md" "$u/SKILL.md" \
  -o "$d/references/evaluation.md" "$u/references/evaluation.md" \
  -o "$d/references/examples.md" "$u/references/examples.md" \
  -o "$d/references/methods.md" "$u/references/methods.md"

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

d="$HOME/.gemini/antigravity-cli/skills/model-merging"
u="https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/cli-tool/components/skills/ai-research/emerging-techniques-model-merging"
curl -fsSL --create-dirs \
  -o "$d/SKILL.md" "$u/SKILL.md" \
  -o "$d/references/evaluation.md" "$u/references/evaluation.md" \
  -o "$d/references/examples.md" "$u/references/examples.md" \
  -o "$d/references/methods.md" "$u/references/methods.md"

Peça ao Rook

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

Prévia do SKILL.md

---
name: model-merging
description: Merge multiple fine-tuned models using mergekit to combine capabilities without retraining. Use when creating specialized models by blending domain-specific expertise (math + coding + chat), improving performance beyond single models, or experimenting rapidly with model variants. Covers SLERP, TIES-Merging…
version: 1.0.0
author: Orchestra Research
license: MIT
tags: [Emerging Techniques, Model Merging, Mergekit, SLERP, TIES, DARE, Task Arithmetic, Model Fusion, No Retraining, Multi-Capability, Arcee AI]
dependencies: [mergekit, transformers, torch]
---

# Model Merging: Combining Pre-trained Models

## When to Use This Skill

Use Model Merging when you need to:
- **Combine capabilities** from multiple fine-tuned models without retraining
- **Create specialized models** by blending domain-specific expertise (math + coding + chat)
- **Improve performance** beyond single models (often +5-10% on benchmarks)
- **Reduce training costs** - no GPUs needed, merges run on CPU
- **Experiment rapidly** - create new model variants in minutes, not days
- **Preserve multiple skills** - merge without catastrophic forgetting

**Success Stories**: Marcoro14-7B-slerp (best on Open LLM Leaderboard 02/2024), many top HuggingFace models use merging

**Tools**: mergekit (Arcee AI), LazyMergekit, Model Soup

## Installation

```bash
# Install mergekit
git clone https://github.com/arcee-ai/mergekit.git
cd mergekit
pip install -e .

# Or via pip
pip install mergekit

# Optional: Transformer library
pip install transformers torch
```
…

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