# 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

- https://huggingface.co/Qwen/Qwen3-4B-Instruct-2507
- https://huggingface.co/Qwen/Qwen3-8B
- https://huggingface.co/Qwen/Qwen3.5-4B
