Model Terminal
Qwen2.5-1.5B-Instruct
Qwen2.5-1.5B-Instruct is a compact 1.54-billion-parameter instruction-tuned language model from Alibaba's Qwen team, designed for general-purpose text generation, multilingual conversation, coding, and math tasks. It supports structured outputs and a 128K-token context window, making it well-suited for lightweight assistant and developer workflows. Source: supabase.
Value score
Not scored
Context
—
tokens
Max output
—
tokens
Price
—
Capability radar
Peer value bars
Identity
- Developer
- Hugging Face
- Openness
- —
- Modalities
- Text-generation
- Release
- —
- Knowledge cutoff
- —
- Deprecation
- —
- API docs
- —
Benchmarks
No benchmark scores yet.
Compare nearby
Pricing
- Input / 1M
- —
- Output / 1M
- —
- Speed
- —