Big Model Inference

Organization

VectorSpaceLab

big-model-inference

Use Accelerate big-model inference utilities for meta initialization, device-map planning, checkpoint dispatch, CPU/disk offload, hooks, pipeline inference, and memory sizing without triggering downloads or heavyweight runs.

Overview

Publisher	VectorSpaceLab
Repository	`AREX-Skill`
Skill name	`big-model-inference`
Stars	341
Forks	26
Bundled files	4
License	Apache-2.0
Links	Skill source Repository

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
4 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by VectorSpaceLab on GitHub. Read the source before you install it.

Installation

Install the Big Model Inference AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/VectorSpaceLab/AREX-Skill/tree/main/skills/repositories/repo-skills/accelerate/sub-skills/big-model-inference
Enable the skill in any chat where you want it available.

Store

Installed

Skills

Add skills

Import one or more skills from a public GitHub folder or a local .skill or .zip archive, or SKILL.md file.

From GitHub URLFrom .skill, .zip, or SKILL.md

GitHub repo or folder

https://github.com/VectorSpaceLab/AREX-Skill/tree/main/skills/repositories/repo-skills/accelerate/sub-skills/big-model-inference

Points to a single skill folder, or any folder that contains multiple skills. Public repos only.

CancelContinue

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/VectorSpaceLab/AREX-Skill.git /tmp/AREX-Skill
mkdir -p .claude/skills
cp -r /tmp/AREX-Skill/skills/repositories/repo-skills/accelerate/sub-skills/big-model-inference .claude/skills/big-model-inference

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Big Model Inference in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Big Model Inference on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Big Model Inference is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Big Model Inference

Use this sub-skill when an agent needs to load, inspect, partition, or troubleshoot models that may not fit in a single device's memory. It covers Accelerate's init_empty_weights, infer_auto_device_map, load_checkpoint_and_dispatch, dispatch_model, CPU/disk offload helpers, hook behavior, prepare_pippy, and model-size estimation concepts.

Route First

For generic accelerate launch, accelerate config, or accelerate estimate-memory CLI syntax, route to ../configuration-and-cli/.
For DeepSpeed ZeRO-3 training/inference tradeoffs, route to ../distributed-training-backends/.
For normal Accelerator.prepare training loops, route to the training-oriented sub-skill instead of using big-model dispatch primitives.

Core References

Read references/workflows.md for safe workflows: meta-device construction, device-map planning, checkpoint dispatch, CPU/disk offload, distributed inference, and pipeline parallelism.
Read references/api-reference.md for public APIs, key parameters, and import locations.
Read references/troubleshooting.md when device maps, offload folders, checkpoint indexes, meta tensors, split points, or optional model libraries fail.
Use scripts/big_model_api_smoke.py --help or run the script directly to verify tiny CPU/meta-device API availability without downloads.

Safety Defaults

Prefer tiny synthetic torch.nn.Module models for inspection and examples.
Do not call from_pretrained, snapshot_download, or heavyweight model examples unless the user explicitly wants network/model downloads.
Treat disk offload as requiring a real writable offload folder and clean it up after experiments.
Never call .to("cpu"), .cuda(), or a forward pass on a model still initialized on meta; load or set real tensors first.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Big Model Inference AI skill do?

Why use Big Model Inference on TypingMind?

Because you install it once and use it with any model. Big Model Inference is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Big Model Inference in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/VectorSpaceLab/AREX-Skill/tree/main/skills/repositories/repo-skills/accelerate/sub-skills/big-model-inference. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Big Model Inference?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Big Model Inference?

As many as you like. As long as a model supports skills, you can use Big Model Inference with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Big Model Inference AI skill free?

Yes. It is published on GitHub by VectorSpaceLab under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Big Model Inference

Route First

Core References

Safety Defaults

Bundled files

Frequently asked questions

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