Model library / Chat / reasoning
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.
Sources reviewed 2026-09-30 · B3IQ engineering
Runtime profiles and requirements
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.
ollama · qwen3-8b
- 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.
llama.cpp · llamacpp-qwen3-8b
- Catalog GPU threshold
- Not specified
- Configured context
- 4,096 tokens
- Catalog system RAM
- 24 GB
- Runtime
- llama.cpp
- Artifact identifier
Qwen3-8B-Q4_K_M- Precision
- Q4_K_M
- 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.
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.
Memory-based machine candidates depend on the current visible store configurations. Confirm runtime compatibility, GPU count, interconnect and workload before purchase. Pricing and availability are shown on the machine page.
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.