Alibaba

Qwen 2.5 Coder 14B

Name: Qwen 2.5 Coder 14B
Rating: 63 (142 reviews)
Author: Alibaba

Actual

HuggingFace

Ollama

2.1MDescargas157Me gustaNov 2024Publicado131K tokensContextoApache 2.0Licencia36 BásicoCalidad

Qwen 2.5 Coder 14B (14B parameters) requires approximately 13.3 GB of VRAM with Q4_K_M quantization. For the best balance of quality and speed, we recommend hardware with at least 16 GB of VRAM.

Comenzar

— copia y pega para ejecutar en local

Copy-paste commands to run Qwen 2.5 Coder 14B on your machine.

Run

ollama run qwen2.5-coder:14b

Quick specs

Parameters14B

Architecturedense

Context131K tokens

Modalitytext

Min RAM5.5 GB

Rec. RAM8.5 GB (Q4_K_M)

LicenseApache 2.0

FamilyQwen

✓ Code

About this model

Qwen2.5-Coder is the latest series of Code-Specific Qwen large language models (formerly known as CodeQwen). As of now, Qwen2.5-Coder has covered six mainstream model sizes, 0.5, 1.5, 3, 7, 14, 32 billion parameters, to meet the needs of different developers. Qwen2.5-Coder brings the following improvements upon CodeQwen1.5:

•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

Modelos relacionados

Selecciones rápidas

Mejor económicoB

RX 7600 XT 16GB~$329 — 21 tok/s

Mejor en generalB

RTX A4500 20GB~$2,000 — 63 tok/s

Mejor hardware

Mejores opciones para Qwen 2.5 Coder 14B

RTX 5090 Laptop 24GBB

24 GB

Ejecutar este modelo

Qwen 2.5 Coder 14B on RTX A4500 20GB Qwen 2.5 Coder 14B on RX 7900 XT 20GB Qwen 2.5 Coder 14B on RTX 4090 24GB

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	5.5 GB	Low	—
Q3_K_S	3	6.9 GB	Low	—
NVFP4	4	7.8 GB	Medium	—
Q4_K_M	4	8.5 GB	Medium	—
Q5_K_M	5	10.1 GB	High	—
Q6_K	6	11.5 GB	High	—
Q8_0	8	15.0 GB	Very High	—
F16	16	28.7 GB	Maximum	—

Quality benchmarks

Qwen 2.5 Coder 14B benchmark scores

Benchmark verified

Coding

SWE-bench Verified27.0%

HumanEval+83.5%

Aider Polyglot—

LiveCodeBench31.5%

Reasoning

MMLU-Pro32.7%

GPQA Diamond7.3%

MATH-50032.5%

ARC Challenge—

General

Chatbot Arena—

IFEval69.1%

Source: official · 2024-11-12

Compatibilidad de hardware

Estimaciones de encaje en todo el hardware

Abrir calculadora

Computing compatibility...

Desglose de memoria

Reference: RTX 2060 6GB

Weights8.5 GB

KV Cache2.9 GB

Runtime1.2 GB

Headroom0.6 GB

Preguntas frecuentes

FAQ — Qwen 2.5 Coder 14B

Ver también

Guía de cuantización Metodología de puntuación Abrir calculadora