model-merging SKILL.md skillA
model-merging from orchestra-research/ai-research-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add orchestra-research/ai-research-skills/model-merging@v1.0.0Pins v1.0.0 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- orchestra-research/ai-research-skills
- Path
19-emerging-techniques/model-merging/SKILL.md- Versions recorded
- 5
- Latest version
- v1.0.0, committed Jun 16, 2026
- First version recorded
- Nov 19, 2025
- Size
- 12,818 bytes
- Repository stars
- 13,718
- License
- MIT
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, DARE, Task Arithmetic, linear merging, and production deployment strategies.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# 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
```
## Quick Start
### Simple Linear Merge
```yaml
# config.yml - Merge two models with equal weights
merge_method: linear
models:
- model: mistralai/Mistral-7B-v0.1
parameters:
weight: 0.5
…Read the whole file at its exact version.
How to install
mdr add orchestra-research/ai-research-skills/model-merging@sha256:dfbcc6d6dfef5748The line at the top of this page pins the label v1.0.0, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_fgnltmyinlhe6lje)
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Versions
The registry has recorded 5 versions of this file, between Nov 19, 2025 and Jun 16, 2026, about one every 52 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| v1.0.0 latest | 2026-06-16 | b6d48ad | 12,818 B | A | view · diff |
| v1.0.0 | 2025-11-20 | 0a9ded4 | 12,439 B | A | view · diff |
| v1.0.0 | 2025-11-20 | 51fc3a3 | 12,418 B | A | view · diff |
| v1.0.0 | 2025-11-20 | 81c38fe | 12,417 B | A | view · diff |
| v1.0.0 | 2025-11-19 | bd4461f | 12,416 B | A | view |
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (12818 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
orchestra-research/ai-research-skills · 13,718 stars · license MIT · pushed 2026-10-11 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_fgnltmyinlhe6lje GET https://markdownregistry.com/api/v1/resolve?ref=orchestra-research/ai-research-skills/model-merging GET https://markdownregistry.com/api/v1/blob/dfbcc6d6dfef57489ac69cb6f3a858783f16dff2ecfc72eb2fac168fd2ecc87d
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.