BigCode
StarCoder 15B
Legacy24.4KDescargas3.0KMe gustaMay 2023Publicado8K tokensContextoApache 2.0Licencia60 BuenoCalidad
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.
Comenzar
— copia y pega para ejecutar en localCopy-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
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Selecciones rápidas
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Opciones de cuantización
Estimaciones de VRAM por nivel de cuantización
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
Compatibilidad de hardware
Estimaciones de encaje en todo el hardware
Computing compatibility...
Desglose de memoria
Reference: RTX 2060 6GB
Weights10.8 GB
KV Cache14.6 GB
Runtime1.2 GB
Headroom0.6 GB
Preguntas frecuentes
FAQ — StarCoder 15B
Ver también