Alibaba

Qwen 2.5 Coder 14B

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

当前

HuggingFace

Ollama

2.1M下载量157点赞Nov 2024发布日期131K tokens上下文Apache 2.0许可证36 基础质量

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.

快速开始

— 复制粘贴即可本地运行

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

Qwen 2.5 Coder 14B 的最佳选择

RTX 5090 Laptop 24GBB

24 GB

运行此模型

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

量化选项

各量化级别的 VRAM 估算

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

硬件兼容性

全部硬件的适配估算

打开计算器

Computing compatibility...

内存详细分析

Reference: RTX 2060 6GB

Weights8.5 GB

KV Cache2.9 GB

Runtime1.2 GB

Headroom0.6 GB

常见问题

FAQ — Qwen 2.5 Coder 14B

另请参阅

量化指南评分方法打开计算器