The April 2025 refresh of Qwen at 8B. Native mixed-mode reasoning: the model can 'think' before answering when triggered, or answer directly for simple queries — configurable per request. Apache 2.0. A strong upgrade over Qwen 2.5 7B on math and code, with much better instruction following.
- Parameters
- 8B
- Context length
- 33K
- Modality
- text
- Released
- 2025-04-29
Memory & hardware
- VRAM (fp16)
- 16 GB
- VRAM (Q4)
- 4.8 GB
- Recommended
- RTX 3090 or Apple M-series
- Quantizations
- fp16, q8_0, q5_k_m, q4_k_m, gguf
Benchmarks
Hosted inference pricing
No hosted pricing listed — this model is currently self-host-only on this site.
Run it yourself
Drop-in commands for the three most common open-source inference paths. The Ollama tag is a best-effort match against the registry; verify the size variant before pulling.
vllm serve Qwen/Qwen3-8B
from transformers import AutoTokenizer, AutoModelForCausalLM
tokenizer = AutoTokenizer.from_pretrained("Qwen/Qwen3-8B")
model = AutoModelForCausalLM.from_pretrained(
"Qwen/Qwen3-8B", device_map="auto", torch_dtype="auto"
)Qwen/Qwen3-8B Related models
Same family or similar size — useful when shopping around.
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- License
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- License
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- License
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- License
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- License
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- License
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