👁 WizardLM
WizardLM
WizardLM 13B
Legacy
325Downloads75LikesMay 2023Released8K tokensContextMITLicense50 GoodQuality
WizardLM 13B (13B parameters) requires approximately 21.9 GB of VRAM with Q4_K_M quantization. For the best balance of quality and speed, we recommend hardware with at least 26 GB of VRAM.
Get started
— copy & paste to run locallyCopy-paste commands to run WizardLM 13B on your machine.
Run
lms load WizardLM-13B-V1.0 && lms server startQuick specs
Parameters13B
Architecturedense
Context8K tokens
Modalitytext
Min RAM5.1 GB
Rec. RAM7.9 GB (Q4_K_M)
LicenseMIT
FamilyWizardLM
✓ Chat✓ Reasoning
About this model
Your hardware
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Run this model
Quantization options
VRAM estimates by quant level
No hardware detected — fit column shows raw VRAM estimates
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 5.1 GB | Low | — |
Q3_K_S | 3 | 6.4 GB | Low | — |
NVFP4 | 4 | 7.3 GB | Medium | — |
Q4_K_M | 4 | 7.9 GB | Medium | — |
Q5_K_M | 5 | 9.4 GB | High | — |
Q6_K | 6 | 10.7 GB | High | — |
Q8_0 | 8 | 13.9 GB | Very High | — |
F16 | 16 | 26.7 GB | Maximum | — |
Quality benchmarks
WizardLM 13B benchmark scores
Reasoning
MMLU-Pro—
GPQA Diamond—
MATH-500—
ARC Challenge57.2%
Source: community · 2023-07-25
Hardware compatibility
Fit estimates across all hardware
Computing compatibility...
Memory breakdown
Reference: RTX 2060 6GB
Weights7.9 GB
KV Cache12.2 GB
Runtime1.2 GB
Headroom0.6 GB
Frequently asked questions
FAQ — WizardLM 13B
See also