Qwen3 8B Q4 VRAM Requirement and Ollama Model Size
Qwen3 8B Q4 needs 8GB minimum VRAM, 10GB optimal VRAM, and 16GB+ system RAM for a safer Ollama run. Top-20 curated profile from ollama.com popular list.. Caveat: Estimated values are placeholders unless marked measured..
Hardware Snapshot
| Family | Qwen3 |
|---|---|
| Scenario | coding |
| License scope | open-source |
| Quantization | Q4 |
| VRAM minimum | 8GB |
| VRAM optimal | 10GB |
| Best local GPU | RTX 3090 24GB |
| Cloud fallback | A6000 48GB |
| Updated | 2026-02-24 |
| Data status | Verified by Real Hardware |
| Ollama source | Library reference (verified: 2026-02-24) |
| Ollama tag | qwen3:8b |
| Popularity | Fast Local Model |
| Category | Coding / Chat |
Benchmark Anchors
| Hardware | Expected tok/s |
|---|---|
| RTX 3090 24GB | 30 |
| RTX 4090 24GB | 40.5 |
| A100 80GB | 72 |
Quick Answers
- How much VRAM does Qwen3 8B Q4 need?
- Qwen3 8B Q4 needs about 8GB minimum VRAM and 10GB optimal VRAM for a safer local run target.
- Can Qwen3 8B Q4 run on an RTX 3090 24GB?
- Yes. Qwen3 8B Q4 fits comfortably on an RTX 3090 24GB target with 10GB optimal VRAM.
- What is the Ollama command for Qwen3 8B Q4?
- Use ollama run qwen3:8b. Check the Ollama tag qwen3:8b before running.
- What is the approximate Ollama model size for Qwen3 8B Q4?
- Qwen3 8B Q4 uses the qwen3:8b Ollama tag. Treat the Q4 8 profile as smaller than the runtime VRAM budget; use 8GB minimum VRAM and 10GB optimal VRAM as the safer sizing numbers.
- How much system RAM does Qwen3 8B Q4 need in Ollama?
- Plan for at least 16GB system RAM alongside 8GB minimum VRAM and 10GB optimal VRAM. More RAM helps if layers spill to CPU or if you run multiple models.
- What is the RAM vs VRAM requirement for Qwen3 8B Q4?
- Qwen3 8B Q4 should be sized by GPU VRAM first: 8GB minimum and 10GB optimal. System RAM should be at least 16GB so Ollama has room for CPU-side layers, context, and the surrounding app process.
- What is Qwen3 8B Q4 VRAM usage on an RTX 3090?
- Qwen3 8B Q4 is comfortable for an RTX 3090 24GB target. The page estimates 8GB minimum and 10GB optimal VRAM, with spill risk marked as low.
- Which LocalVRAM profiles share the qwen3:8b Ollama tag?
- LocalVRAM tracks these profiles for the same Ollama tag or model family: Qwen3 8B Q4 (Q4, 8GB min/10GB optimal); Qwen3 8B Q5 (Q5, 10GB min/12GB optimal); Qwen3 8B Q8 (Q8, 12GB min/22GB optimal); Qwen3 8B FP16 (FP16, 18GB min/30GB optimal). Use the table on this page to compare quantization and VRAM targets before choosing a run command.
- Is Qwen3 8B Q4 benchmark data measured or estimated?
- Qwen3 8B Q4 has a verified RTX 3090 result of 128.274 tokens/s from LocalVRAM benchmark data.
Ollama Model Size and RAM Notes
| Ollama tag | qwen3:8b |
|---|---|
| Run command | ollama run qwen3:8b |
| Model size guidance | Q4 quantization, 8 profile; size runtime by VRAM, not download size alone |
| Runtime VRAM target | 8GB minimum, 10GB optimal |
| System RAM planning | 16GB or more when running this tag locally with Ollama |
Download size alone is not a safe runtime budget. Runtime memory also includes KV cache, context length, and GPU layer placement.
Ollama RAM vs VRAM Requirements
| GPU VRAM usage estimate | 8GB minimum / 10GB optimal |
|---|---|
| System RAM requirement | 16GB or more for Ollama runtime headroom |
| RTX 3090 24GB fit | Comfortable |
| CPU spill risk | Low |
| Context warning | Longer context increases KV cache memory, so real VRAM usage can exceed short-prompt estimates. |
For Ollama, VRAM is the first fit check. System RAM matters when layers spill to CPU, when context grows, or when the local app stack runs beside the model.
Available Tag Variants and VRAM Targets
| Profile | Quantization | VRAM target | Ollama tag |
|---|---|---|---|
| Qwen3 8B Q4 | Q4 | 8GB min / 10GB optimal | qwen3:8b |
| Qwen3 8B Q5 | Q5 | 10GB min / 12GB optimal | qwen3:8b |
| Qwen3 8B Q8 | Q8 | 12GB min / 22GB optimal | qwen3:8b |
| Qwen3 8B FP16 | FP16 | 18GB min / 30GB optimal | qwen3:8b |
Ollama library tags often group multiple quantization choices under one model family. LocalVRAM separates them into VRAM profiles so you can pick the right local target.
Real Hardware Benchmark (RTX 3090)
| Tokens/s | 128.274 |
|---|---|
| Latency | 1404 ms |
| Prompt tokens | 31 |
| Eval tokens | 128 |
| Test time | 2026-08-19T03:08:42Z |
| GPU model | NVIDIA GeForce RTX 3090 |
Verified by real hardware.
Performance Curve
Reference anchors are baseline estimates. Measured RTX 3090 data is overlaid when available.
Best Hardware for Qwen3 8B Q4
- Local run: RTX 3090 (24GB) (Check latest deal) for around 128.274 tok/s on this profile.
- Cloud run: RunPod A6000 48GB , about 0.6x the local 3090 speed anchor.
- Alternative cloud: Vast.ai options for flexible spot pricing.
Local vs Cloud Cost Hint
| Mode | 40h / month | 120h / month |
|---|---|---|
| Local power only (3090 baseline) | $2.24 | $6.72 |
| A6000 48GB | $30.4 | $91.2 |
Related Model Profiles
- Qwen3 8B Q5 10GB min, 12GB optimal
- Qwen3 8B Q8 12GB min, 22GB optimal
- Qwen3 8B FP16 18GB min, 30GB optimal
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