Alibaba
Qwen 2.5 Coder 32B
Actual1.1MDescargas2.0KMe gustaNov 2024Publicado131K tokensContextoApache 2.0Licencia66 BuenoCalidad
Qwen 2.5 Coder 32B (32B parameters) requires approximately 25.2 GB of VRAM with Q4_K_M quantization. For the best balance of quality and speed, we recommend hardware with at least 29 GB of VRAM.
Comenzar
— copia y pega para ejecutar en localCopy-paste commands to run Qwen 2.5 Coder 32B on your machine.
Run
ollama run qwen2.5-coderQuick specs
Parameters32B
Architecturedense
Context131K tokens
Modalitytext
Min RAM12.5 GB
Rec. RAM19.5 GB (Q4_K_M)
LicenseApache 2.0
FamilyQwen
✓ Code
About this model
- •Significantly improvements in code generation, code reasoning and code fixing. Base on the strong Qwen2.5, we scale up the training...
- •A more comprehensive foundation for real-world applications such as Code Agents. Not only enhancing coding capabilities but also maintaining...
- •Long-context Support: up to 128K tokens
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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 | 12.5 GB | Low | — |
Q3_K_S | 3 | 15.7 GB | Low | — |
NVFP4 | 4 | 17.9 GB | Medium | — |
Q4_K_M | 4 | 19.5 GB | Medium | — |
Q5_K_M | 5 | 23.0 GB | High | — |
Q6_K | 6 | 26.2 GB | High | — |
Q8_0 | 8 | 34.2 GB | Very High | — |
F16 | 16 | 65.6 GB | Maximum | — |
Quality benchmarks
Qwen 2.5 Coder 32B benchmark scores
Coding
SWE-bench Verified41.0%
HumanEval+87.2%
Aider Polyglot—
LiveCodeBench31.4%
Reasoning
MMLU-Pro62.3%
GPQA Diamond41.8%
MATH-50076.4%
ARC Challenge—
General
Chatbot Arena—
IFEval79.9%
Source: official · 2024-11-12
Compatibilidad de hardware
Estimaciones de encaje en todo el hardware
Computing compatibility...
Desglose de memoria
Reference: RTX 2060 6GB
Weights19.5 GB
KV Cache3.9 GB
Runtime1.2 GB
Headroom0.6 GB
Preguntas frecuentes
FAQ — Qwen 2.5 Coder 32B
Ver también