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StarCoder 15B
Legacy
21.7KDownloads3.0KLikesMay 2023Released8K tokensContextApache 2.0License60 GoodQuality
StarCoder 15B (15B parameters) requires approximately 27.2 GB of VRAM with Q5_K_M quantization. For the best balance of quality and speed, we recommend hardware with at least 32 GB of VRAM.
Get started
— copy & paste to run locallyCopy-paste commands to run StarCoder 15B on your machine.
Run
lms load starcoder && lms server startQuick specs
Parameters15B
Architecturedense
Context8K tokens
Modalitycode
Min RAM5.9 GB
Rec. RAM10.8 GB (Q5_K_M)
LicenseApache 2.0
FamilyStarCoder
✓ Code✓ Reasoning
About this model
Related models
Your hardware
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Quick picks
Best budgetA
Mac mini M4 64GB~$1,099 — 8 tok/s
Best overallA
NVIDIA A100 40GB~$10,000 — 123 tok/sBest hardware
Top picks for StarCoder 15B
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 | 5.9 GB | Low | — |
Q3_K_S | 3 | 7.4 GB | Low | — |
NVFP4 | 4 | 8.4 GB | Medium | — |
Q4_K_M | 4 | 9.2 GB | Medium | — |
Q5_K_M | 5 | 10.8 GB | High | — |
Q6_K | 6 | 12.3 GB | High | — |
Q8_0 | 8 | 16.1 GB | Very High | — |
F16 | 16 | 30.7 GB | Maximum | — |
Quality benchmarks
StarCoder 15B benchmark scores
Coding
SWE-bench Verified—
HumanEval+33.6%
Aider Polyglot—
LiveCodeBench—
Source: official · 2023-05-04
Hardware compatibility
Fit estimates across all hardware
Computing compatibility...
Memory breakdown
Reference: RTX 2060 6GB
Weights10.8 GB
KV Cache14.6 GB
Runtime1.2 GB
Headroom0.6 GB
Frequently asked questions
FAQ — StarCoder 15B
See also