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LLM quantization to 8 or 4 bits with bitsandbytes v1.0.0

Use this resource to quantize an LLM to 8 or 4 bits so it fits in limited GPU memory

New

  • 372 downloads
  • 131 likes
  • 102 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install bitsandbytes-llm-quantization

With no option, the skill goes to ~/.agents/skills/; add --agent claude-code (or codex, cursor…) to target an agent.

First time: connect the CLI with

npx --yes palatekit@latest login

The agent sets up loading a Hugging Face model in INT8 or NF4, checks memory use and, for training, prepares QLoRA fine-tuning with LoRA adapters and 8-bit optimizers. You get a model that fits your GPU with a small accuracy loss.

Mostly picked by

Updated November 2, 2026

Card for the “LLM quantization to 8 or 4 bits with bitsandbytes” skill

Details

Works in
Install guides
Generates with
Your agent's model
Licence
MIT

Similar resources

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What you get

  • SKILL.md: quick start and loading in 8 or 4 bits
  • references/qlora-training.md: QLoRA training
  • references/quantization-formats.md: INT8, NF4 and FP4 formats

Good fit for

  • Your GPU does not have enough memory for the model you want
  • You want to train a model with QLoRA on a modest graphics card

Not for

    Tags

    • quantization
    • bitsandbytes
    • qlora

    About

    You say

    “Load Llama 2 7B in 4-bit on my 8 GB GPU and check memory usage.”

    Card for the “LLM quantization to 8 or 4 bits with bitsandbytes” skill

    Skill published by davila7 under the MIT license, delivered in its original version.

    Show more

    How to use it

    1. Install the skill in your agent's skills folder
    2. Ask your agent to quantize an LLM to 8 or 4 bits so it fits in limited GPU memory
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE1.1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • references/memory-optimization.md12.9 KB
    • references/qlora-training.md12.2 KB
    • references/quantization-formats.md10.5 KB
    • SKILL.md10.3 KB

    Origin and licence

    Listed unmodified

    Author
    davila7
    Source
    github.com/davila7/claude-code-templates/tree/f57964ebda91cdfb31755661ecea9395f30020f1/cli-tool/components/skills/ai-research/optimization-bitsandbytes
    Licence
    MIT

    Notice

    « optimization-bitsandbytes » (davila7, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

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