Meta
CodeLlama 13B Instruct
Legacy
3.5KDescargas160Me gustaAug 2023Publicado16K tokensContextoCommunityLicencia60 BuenoCalidad
CodeLlama 13B Instruct (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.
Comenzar
— copia y pega para ejecutar en localCopy-paste commands to run CodeLlama 13B Instruct on your machine.
Run
lms load CodeLlama-13b-Instruct-hf && lms server startQuick specs
Parameters13B
Architecturedense
Context16K tokens
Modalitycode
Min RAM5.1 GB
Rec. RAM7.9 GB (Q4_K_M)
LicenseCommunity
FamilyCodeLlama
✓ Code
About this model
- •[x] Code completion
- •[x] Instructions / chat
- •[ ] Python specialist
Modelos relacionados
Selecciones rápidas
Mejor hardware
Mejores opciones para CodeLlama 13B Instruct
Ejecutar este modelo
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 | 5.1 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
CodeLlama 13B Instruct benchmark scores
Coding
SWE-bench Verified—
HumanEval+42.7%
Aider Polyglot—
LiveCodeBench—
Source: official · 2023-08-24
Compatibilidad de hardware
Estimaciones de encaje en todo el hardware
Computing compatibility...
Desglose de memoria
Reference: RTX 2060 6GB
Weights7.9 GB
KV Cache12.2 GB
Runtime1.2 GB
Headroom0.6 GB
Preguntas frecuentes
FAQ — CodeLlama 13B Instruct
Ver también