distributed-llm-pretraining-torchtitan SKILL.md skillA
distributed-llm-pretraining-torchtitan 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/distributed-llm-pretraining-torchtitan@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
01-model-architecture/torchtitan/SKILL.md- Versions recorded
- 3
- Latest version
- v1.0.0, committed Jan 29, 2026
- First version recorded
- Jan 26, 2026
- Size
- 8,927 bytes
- Repository stars
- 13,718
- License
- MIT
Provides PyTorch-native distributed LLM pretraining using torchtitan with 4D parallelism (FSDP2, TP, PP, CP). Use when pretraining Llama 3.1, DeepSeek V3, or custom models at scale from 8 to 512+ GPUs with Float8, torch.compile, and distributed checkpointing.
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
# TorchTitan - PyTorch Native Distributed LLM Pretraining ## Quick start TorchTitan is PyTorch's official platform for large-scale LLM pretraining with composable 4D parallelism (FSDP2, TP, PP, CP), achieving 65%+ speedups over baselines on H100 GPUs. **Installation**: ```bash # From PyPI (stable) pip install torchtitan # From source (latest features, requires PyTorch nightly) git clone https://github.com/pytorch/torchtitan cd torchtitan pip install -r requirements.txt ``` **Download tokenizer**: ```bash # Get HF token from https://huggingface.co/settings/tokens python scripts/download_hf_assets.py --repo_id meta-llama/Llama-3.1-8B --assets tokenizer --hf_token=... ``` **Start training on 8 GPUs**: ```bash CONFIG_FILE="./torchtitan/models/llama3/train_configs/llama3_8b.toml" ./run_train.sh ``` ## Common workflows ### Workflow 1: Pretrain Llama 3.1 8B on single node Copy this checklist: ``` Single Node Pretraining: - [ ] Step 1: Download tokenizer - [ ] Step 2: Configure training - [ ] Step 3: Launch training - [ ] Step 4: Monitor and checkpoint ``` **Step 1: Download tokenizer** ```bash python scripts/download_hf_assets.py \ --repo_id meta-llama/Llama-3.1-8B \ …
Read the whole file at its exact version.
How to install
mdr add orchestra-research/ai-research-skills/distributed-llm-pretraining-torchtitan@sha256:530b85ddadfc69e2The 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_ehomlzcs2z65cdve)
2 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 3 versions of this file, between Jan 26, 2026 and Jan 29, 2026, about one every day.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| v1.0.0 latest | 2026-01-29 | 6f8bdc0 | 8,927 B | A | view · diff |
| v1.0.0 | 2026-01-26 | 82b6da5 | 8,926 B | A | view · diff |
| v1.0.0 | 2026-01-26 | 90ed3ad | 8,863 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 (8927 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_ehomlzcs2z65cdve GET https://markdownregistry.com/api/v1/resolve?ref=orchestra-research/ai-research-skills/distributed-llm-pretraining-torchtitan GET https://markdownregistry.com/api/v1/blob/530b85ddadfc69e2cfd3bbdd7cdb03c89f7ddd00ba0e84fed8ac43e98a25a4d8
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.