Qwen 3.5 (2B)
Alibaba's Qwen 3.5 at 2B parameters. Multimodal (text + images) with native tool calling and a 256K context window. A very compact choice for constrained devices.
At a glance
- Parameters
- 2B
- Quantization
- Q4_K_M
- Context window
- 256K tokens
- Approx. size
- 2.7 GB
- Engines
- llama.cpp, MLX, Ollama
- License
- Apache-2.0 (open)
- Version
- v1.1.0 , released 2026-04-26
- Family
- qwen
Tuning
Defaults a gezel client applies out of the box, from real evaluation runs against this exact quantization.
- sampling.temperature
0.7- sampling.topP
0.8- sampling.topK
20- sampling.minP
0- reasoning.thinkingBudget
2048- reasoning.enableThinking
true- profiles
- thinking-general, thinking-coding, thinking-precise, instruct, creative
Model behaviors
Client-side behavior modules the catalog enables for this model (reasoning-tag handling, fabrication detection, prompt shaping).
- reasoning.strip-think-tags
- prompt.private-reasoning-guidance
- prompt.tool-cookbook-full
- fabrication.detect-past-tense-no-tools
- mcp.relax-required-fields
- mcp.default-missing-fields
- turn.continuation-budget
- turn.ollama-num-predict-bumped
- turn.preamble-folding
- turn.ramble-detection
- tools.mlx-grammar
- prompt.prefer-writefile-edits
- prompt.derive-by-execution
Sources
- llama.cpp (GGUF)
- unsloth/Qwen3.5-2B-GGUF ·
Qwen3.5-2B-Q4_K_M.gguf· Q4_K_M - MLX
- mlx-community/Qwen3.5-2B-4bit
- Ollama
qwen3.5:2b- Upstream
- https://ollama.com/library/qwen3.5
- Manifest
- View on GitHub
Tags
- alibaba
- multimodal
- vision
- tools
- small