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Mlc_llm_gen_config

As explained in Domain-Specific Small Language Models

MLC LLM’s command-line utility for generating a chat configuration for a selected model.

mlc_llm_gen_config generates the chat configuration required after converting a model’s weights to MLC LLM format. It records model-specific settings, including quantization and the chat template, for subsequent compilation and deployment. section 11.3 section 11.5

The command operates between model preparation and platform-specific compilation:

  • Reads the directory containing the cloned model weights and configuration. section 11.3
  • Takes a quantization type and model chat template, such as q4f16_1 and redpajama_chat. section 11.3
  • Writes the generated configuration to the same output directory used for converted weights. section 11.3
  • Produces mlc-chat-config.json, which later specifies how MLC LLM compiles the model library for a target device. section 11.3 section 11.5

Generate a RedPajama chat configuration

mlc_llm gen_config ./RedPajama-INCITE-Instruct-3B-v1/ --quantization q4f16_1 --conv-template redpajama_chat -o dist/RedPajama-INCITE-Instruct-3B-v1-q4f16_1-MLC/ section 11.3

Figure 11.3 The end-to-end workflow for MLC LLM, from model conversion to deployment on the supported platforms’ native runtimes

Use the end-to-end workflow to place configuration generation between model conversion and deployment on a supported platform runtime. section 11.3

How Domain-Specific Small Language Models covers it

How deep it goes
Explains required inputs, output placement, and the resulting configuration, but defers compilation and runtime serving.
Examples
Uses a RedPajama INCITE Instruct 3B command with q4f16_1 quantization and the redpajama_chat template.
What it assumes
Assumes cloned model weights and configuration, while teaching how quantization and chat-template choices enter configuration generation.
What you can do after
Operate/configure MLC LLM to generate mlc-chat-config.json for a converted model and prepare it for target-device compilation.
How it connects
Connects model conversion, quantization, chat templates, model compilation, and OpenAI-compatible chat APIs.
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