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Qwen3 8B: Specs, GPU requirements, hosting & deployment

Qwen3 8B is a recent General release in the Qwen family, certified from its immutable official source revision.

Technical deployment reference illustration for Qwen3 8B
Reference deployment flow; exact architecture facts are listed separately.
Total parameters8.0B
Active parametersDense model
Context window40,960 tokens
Release statusRecent · Recent
ArchitectureQwen3ForCausalLM
ModalitiesText
LicenseApache License 2.0
Deployment stateDeployable with certified configuration
Commercial stateCommercial Use Allowed
Release date2025-04-27

Architecture, strengths and use cases

Qwen3 8B is an official self-hostable Qwen release in the Qwen General track. It uses Qwen3ForCausalLM, carries 8B, supports a verified context window of 40,960 tokens, and exposes only source-certified checkpoints and runtime combinations. Its release, license and deployment facts are tied to the official repository revision rather than inferred from the family name.

Qwen3 8B uses Qwen3ForCausalLM with 8B. The stored architecture profile records 36 layers, hidden width 4096, 32 attention heads and a 40,960 token context ceiling where the official configuration publishes those fields.

Verified Qwen3ForCausalLM architecture
40,960 token certified context
Official BF16, Unknown checkpoint coverage
Private LLM inference
Agentic workflows
Long-context document processing

Certified checkpoints and quantizations

Only exact, source-certified variants attached to this release are shown.

Qwen3-8B

Qwen/Qwen3-8B

Official · BF16 · safetensors

Runtime certified: Transformers

Precision / quantizationFormatBitsPublisher trustDeployment state
BF16safetensors16OfficialRuntime certified

Recommended hardware

Use only the listed transformers runtime configuration with the exact checkpoint precision. The recommendation engine checks weight memory, KV cache, runtime overhead, safety headroom, GPU architecture and topology before ranking rentable and reference hardware.

Estimated weight memory15.35 GB
KV cache1.13 GB
Runtime overhead7.69 GB
Total with safety margin29.96 GB

Recommended best value

1× NVIDIA A100 SXM 80GB

80 GB total VRAM · nvlink

50.04 GB headroom · Available

USD 915 / month

Lowest-cost viable

2× NVIDIA L4 24GB

48 GB total VRAM · pcie

18.04 GB headroom · Available

USD 500 / month

Highest performance

1× NVIDIA H200 SXM 141GB

141 GB total VRAM · nvswitch

111.04 GB headroom · Limited capacity

USD 2,345 / month

License and self-hosting considerations

The full 8B resident weight set must fit across the selected GPUs. Context and concurrency add KV-cache memory; MoE active parameters do not replace resident-weight memory.

Qwen3 8B is published under Apache License 2.0. The release-scoped official license link and verification date are retained with the catalogue record.

Commercial Use Allowed. The official license permits commercial use; its obligations still apply.

Alternatives and sibling variants

Qwen3 30B-A3B Instruct 2507, Qwen3 235B-A22B, Qwen3.8 2.4T-A95B, Qwen3.8 27B

Release timeline

qwen/qwen/qwen3-8b

Source details

Official source

Source revision: 872a82fc823d6d3fc1ec27684ffa4391e0c2b8b6662cae48c7d453b573800113

Frequently asked questions

How much VRAM does Qwen3 8B require?

The exact estimate depends on checkpoint precision, context and concurrency; the page recommendation uses the certified memory engine and compatible runtime configurations.

Which runtimes support Qwen3 8B?

Certified upstream runtime evidence is available for transformers.

Can Qwen3 8B be used commercially?

The stored commercial classification is Commercial Use Allowed. Consult the official Apache License 2.0 terms for the final obligations.

Official references

Last verified: 2026-08-26