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How to generate text with a quantized Qwen3 base model with Prism Quant

Run the smallest released Prism Quant checkpoint locally for base-model text completion.

Short answer: Run git clone --depth 1 https://github.com/ForeverBlue816/PrismQuant.git and then cd PrismQuant; then run pip install -e . inside the repo folder; run prismquant models to list the released model names. All steps.

Who it is forA developer who wants to see how a Prism Quant INT4 base model behaves before adopting it in a project.

The problemReading about grouped INT4 quantization does not show how a quantized checkpoint actually generates text.

The outcomeA working local install that loads qwen3_0.6b_base and returns a short text completion from the command line or Python.

What you need first

  • Python 3.10 or newer
  • A PyTorch installation that matches your CUDA version
  • Internet access to clone the repo and download Hugging Face checkpoints
  • Enough GPU or system memory for the chosen model size (see docs/models.md)

Steps

  1. Run git clone --depth 1 https://github.com/ForeverBlue816/PrismQuant.git and then cd PrismQuant.
  2. Run pip install -e . inside the repo folder.
  3. Run prismquant models to list the released model names.
  4. Run prismquant generate --model qwen3_0.6b_base --prompt "The key idea behind quantization is" --max-new-tokens 64. (inferred, check the README)
  5. Confirm the output is a plain continuation of the prompt, not a chat reply, since these are base-model completions.

Prompt for your agent

Clone https://github.com/ForeverBlue816/PrismQuant, install it with pip install -e ., and run prismquant generate --model qwen3_0.6b_base with a prompt of your choice and --max-new-tokens 64. Report the generated text and confirm it is a base-model completion rather than a chat-style answer.

Caveat. The reference runtime simulates activation and KV quantization in floating-point storage, so it is not a packed INT4 serving engine and its speed should not be read as deployment throughput.

Use this in your AI agent

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Using the Deduped MCP, get the setup steps for ForeverBlue816/PrismQuant and "Generate text with a quantized Qwen3 base model"

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