skill-hiteshbandhu-skills-i-use-train-llms-locally · by — No reviews yet
0 installs
2 views
0.0% view→install
Install
$ agentstack add skill-hiteshbandhu-skills-i-use-train-llms-locally ✓ scanned · ✓ verified — works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Are you the author of Train Llms Locally? Claim this listing to set pricing, connect Stripe payouts, and keep 70% of every sale.
Sign up to claimAbout
Train LLMs locally
Playbook from Angelos Perivolaropoulos (ElevenLabs workshop). [workflows.md](workflows.md).
├─ Environment (laptop vs Colab) → A
├─ Size tokenizer + data to domain → B
├─ Run training loop / checkpoints → C
└─ Connect pretrain vs post-train path → DSource: playlists/fundamentals-ai-engineer/.
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: hiteshbandhu
- Source: hiteshbandhu/skills-i-use
- License: MIT
Install and usage instructions live in the source repository linked above.
Reviews
No reviews yet — be the first.
Write a review
Versions
- v0.1.0 Imported from the upstream source.