Qwen3 8B GPU requirements and hosting.
A compact Qwen text model with thinking and non-thinking modes upstream. It is a useful starting point for comparing reasoning behavior with a modest weight footprint.
Checkpoint overview.
Model creator
Qwen team, Alibaba Cloud- Task in catalog
- Chat / reasoning
- Approx. total parameters (catalog)
- 8B
- Runtime families
- ollama · llama.cpp
- Model license
- Apache-2.0 ↗
- Upstream access at review
- No repository access gate reported
- Canonical checkpoint
- Qwen/Qwen3-8B ↗
The creator identifies the original checkpoint. Runtime profiles may use separately packaged artifacts; their publishers and configuration can differ. Check the selected profile below.
Configuration matters
Choose a runtime profile.
The catalog includes Ollama and llama.cpp profiles. The named Q4_K_M artifact is a distinct runtime variant; an unspecified GPU-memory threshold needs a separate sizing check.
- Catalog GPU threshold
- Not specified
- Configured context
- 4,096 tokens
- Catalog system RAM
- 24 GB
- Runtime
- ollama
- Artifact identifier
qwen3:8b- Precision
- Not pinned in catalog
- Configured concurrency
- 1 request(s)
- Profile inputs / outputs
- text → text
- Deployed artifact revision
- Not verified
Catalog thresholds are configuration guidance, not measured peak memory. A positive GPU requirement is not recorded for every profile; unspecified is not zero. Context, concurrency and runtime overhead can increase memory use. Configured context is a profile setting, not the upstream maximum. Concurrency is configuration, not a load-test result.
Memory components
Account for the whole workload.
ollamaqwen3:8b
Total GPU allocation Not established
Weights = 8 billion parameters × 2 bytes. This reference does not describe the selected artifact’s unrecorded precision. Cache and runtime reserve need the exact workload. Band widths are schematic, not memory shares; the catalog threshold is also unspecified. A multi-GPU total needs a supported model split and topology.
Weight-only arithmetic and a planning estimate
Using the catalog's approximate 8B total parameters, 16-bit weights alone occupy about 16 GB (parameters × 2 bytes). The shared sizing helper rounds a 20% planning reserve to 19 GB.
This arithmetic does not describe the selected quantized artifact. It excludes a workload-specific KV-cache calculation and cannot guarantee fit at the configured context or concurrency. A mixture-of-experts model still stores its full weights.
See the assumptions →Plan the machine.
Choose hardware
Scope the configuration with us.
This profile has no published GPU-memory threshold. We cannot derive a reliable machine choice from it.
Explore machinesBefore deployment
Test the workload you need.
Choose the thinking mode and output budget before measuring latency. More generated reasoning tokens change response time even when the hardware stays the same.
These are catalog profiles and planning figures. No B3IQ performance measurement or live capacity is claimed. Confirm the artifact, runtime, workload and machine before deployment.
Evidence available
- Upstream identity / license
- Source reviewed
- Runtime settings
- Catalog configuration
- Memory fit
- Guidance; not a measured peak
- B3IQ performance
- No published benchmark
- Installation / live capacity
- Confirm for your machine
Source and access.
- Upstream checkpoint
- Qwen/Qwen3-8B ↗
- Upstream license metadata
- Apache-2.0 ↗
- Access
- No access gate reported by the upstream repository at review.
- Reviewed source revision
b968826d9c46dd6066d109eabc6255188de91218↗
The reviewed revision identifies the source used for this guide. It is not a claim that this revision is installed on a B3IQ machine. Review the publisher's current license and acceptable-use terms for your application.
Guide updates and corrections.
These are changes to the guide. Source-review dates and workload-test evidence are recorded separately.
- · Update
Added creator attribution and a canonical checkpoint overview. The guide now explains how the original creator differs from a runtime artifact publisher.
To report a correction, send the affected claim and a source URL to hello@b3iq.org.
Continue your evaluation.
Compare another checkpoint or explore a complementary task. Each guide explains the workload it is intended for.
