Files
llm/docs/model-selection.md
T

1.1 KiB

First Model Selection

Selected Model

Qwen/Qwen3-4B-Instruct-2507

Local served name: qwen3-4b-instruct.

Why This Model

  • Apache-2.0 license.
  • 4B parameters, so it is a practical first GPU deployment target.
  • Supports text generation, chat, coding, multilingual tasks and tool-use scenarios.
  • Official model page includes vLLM usage.
  • Native context length is 262,144 tokens, but the first deployment uses 32,768 tokens to reduce OOM risk until GPU VRAM is confirmed.

Alternatives

  • Qwen/Qwen3-8B: stronger base candidate, but requires more VRAM.
  • Qwen/Qwen3.5-4B: newer and long-context oriented, but its model card currently recommends newer/mainline serving frameworks, so it is better as a second experiment after the first stable deployment.
  • Mistral/DeepSeek coder models: useful future candidates for coding-specific comparison, but not the first default for Russian + 1C + general assistant coverage.

Sources