What are the hardware requirements for Qwen2.5 Coder 14B Instruct?

Qwen2.5 Coder 14B Instruct requires approximately 29.7 GB of VRAM and supports a context window of 32K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwen2.5 Coder 14B Instruct and how large is it?

Qwen2.5 Coder 14B Instruct is developed by Qwen, a model with 14b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

Where can I download or evaluate Qwen2.5 Coder 14B Instruct?

Qwen2.5 Coder 14B Instruct is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen2.5 Coder 14B Instruct by Qwen — VRAM 29.7GB, 32K context

Name: Qwen2.5 Coder 14B Instruct
Author: Qwen

Qwen2.5 Coder 14B Instruct is an open-source language model by Qwen. Features: 14b LLM, VRAM: 29.7GB, Context: 32K, License: apache-2.0, Instruction-Based, Code Generating, LLM Explorer Score: 0.37.

Arxiv:2309.00071 Arxiv:2407.10671 Arxiv:2409.12186 Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-coder-... Chat Code Codegen Codeqwen Conversational Deploy:azure En Endpoints compatible Instruct Qwen Qwen-coder Qwen2 Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/Qwen/Qwen2.5-Coder-14B-Instruct

Qwen2.5 Coder 14B Instruct Parameters and Internals

Model Type

Causal Language Model

Supported Languages

en (high)

Training Details

Data Sources:

source code, text-code grounding, synthetic data

Data Volume:

5.5 trillion tokens

Context Length:

131072

Model Architecture:

transformers with RoPE, SwiGLU, RMSNorm, and Attention QKV bias

Input Output

Input Format:

text

Accepted Modalities:

text

Output Format:

text

LLM Name	Qwen2.5 Coder 14B Instruct
Repository 🤗	https://huggingface.co/Qwen/Qwen2.5-Coder-14B-Instruct
Base Model(s)	Qwen/Qwen2.5-Coder-14B Qwen/Qwen2.5-Coder-14B
Model Size	14b
Required VRAM	29.7 GB
Updated	2026-07-28
Maintainer	Qwen
Model Type	qwen2
Instruction-Based	Yes
Model Files	5.0 GB: 1-of-6 5.0 GB: 2-of-6 5.0 GB: 3-of-6 5.0 GB: 4-of-6 5.0 GB: 5-of-6 4.7 GB: 6-of-6
Supported Languages	en
Generates Code	Yes
Model Architecture	Qwen2ForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.43.1
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	152064
Torch Data Type	bfloat16
Errors	replace

Rank the Qwen2.5 Coder 14B Instruct capabilities

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Instruction Following and Task Automation
Factuality and Completeness of Knowledge
Censorship and Alignment
Data Analysis and Insight Generation
Text Generation
Text Summarization and Feature Extraction
Code Generation
Multi-Language Support and Translation

Quantized Models of the Qwen2.5 Coder 14B Instruct

Model	Likes	Downloads	VRAM
CogitoZ14	1	25	29 GB
Qwen2.5 Coder 14B Instruct AWQ	21	804668	10 GB
...5 Coder 14B Instruct GPTQ Int4	7	209679	10 GB
....5 Coder 14B Instruct Bnb 4bit	5	21134	9 GB
UIGEN T1.1 Qwen 14B	32	1130	29 GB
...wen2.5 Coder 14B Instruct 4bit	8	2879	8 GB
UIGEN T1.1 Qwen 14B	41	95	29 GB
...5 Coder 14B Instruct GPTQ Int8	7	1356	16 GB
...er 14B Instruct Abliterated V1	3	7	29 GB
....5 Coder 14B Instruct F16 GGUF	2	180	29 GB

Best Alternatives to Qwen2.5 Coder 14B Instruct

Best Alternatives	Context / RAM	Downloads	Likes
ZYH LLM Qwen2.5 14B V4	986K / 29.7 GB	27	8
...hts Qwen2.5 14B Coder Creative	986K / 29.3 GB	267	0
Qwen2.5 14B YOYO V4	986K / 29.7 GB	20	5
ZYH LLM Qwen2.5 14B V2	986K / 29.7 GB	14	1
ZYH LLM Qwen2.5 14B V5	986K / 29.7 GB	12	8
Qwen2.5 14B YOYO V5	986K / 29.7 GB	10	4
Mergekit Model Stock Ggfjmyf	986K / 29.7 GB	14	0
Mergekit Model Stock Injkqri	986K / 29.7 GB	5	1
...1 DeepSeekR1 Coder 14B Preview	128K / 29.7 GB	9	3
Tessa T1 14B	117K / 29.7 GB	6	13