What are the hardware requirements for Qwen2.5 Coder 32B Instruct GPTQ Int8?

Qwen2.5 Coder 32B Instruct GPTQ Int8 requires approximately 35.1 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 32B Instruct GPTQ Int8 and how large is it?

Qwen2.5 Coder 32B Instruct GPTQ Int8 is developed by Qwen, a model with 32b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

How does Qwen2.5 Coder 32B Instruct GPTQ Int8 perform on standard benchmarks?

Qwen2.5 Coder 32B Instruct GPTQ Int8 has the following published scores: HumanEval (Python) 83.2. Compare against reference models on this page or on the LLM Explorer leaderboards.

Qwen2.5 Coder 32B Instruct GPTQ Int8 by Qwen — VRAM 35.1GB, 32K context

Name: Qwen2.5 Coder 32B Instruct GPTQ Int8
Author: Qwen

Qwen2.5 Coder 32B Instruct GPTQ Int8 is an open-source language model by Qwen. Features: 32b LLM, VRAM: 35.1GB, Context: 32K, License: apache-2.0, Quantized, Instruction-Based, Code Generating, LLM Explorer Score: 0.18, HumanEval: 83.2.

Arxiv:2309.00071 Arxiv:2407.10671 Arxiv:2409.12186 8-bit Base model:quantized:qwen/qwen... Base model:qwen/qwen2.5-coder-... Chat Code Codegen Codeqwen Conversational Deploy:azure En Endpoints compatible Gptq Instruct Quantized Qwen Qwen-coder Qwen2 Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/Qwen/Qwen2.5-Coder-32B-Instruct-GPTQ-Int8

Qwen2.5 Coder 32B Instruct GPTQ Int8 Benchmarks

HumanEvalA: 63.38

Python Eva: 83.2 vs 92 (so35)^-9.6%

Java Eval: 73.69

Javascript: 76.05

CPP Eval: 81.95

PHP Eval: 73.59

Julia Eval: 58.15

D Eval: 26.98

Lua Eval: 46.04

R Eval: 52.73

Racket Eva: 61.54

Rust Eval: 68.53

Swift Eval: 58.12

LLME Score: 0.17968

^nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

What is the LLM Explorer Rank (Score)

Qwen2.5 Coder 32B Instruct GPTQ Int8 (Qwen/Qwen2.5-Coder-32B-Instruct-GPTQ-Int8)

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Qwen2.5 Coder 32B Instruct GPTQ Int8 Parameters and Internals

Model Type

Causal Language Model

Use Cases

Areas:

Research, Commercial applications

Applications:

Code generation, Code reasoning, Code fixing, Mathematics

Primary Use Cases:

Enhancing coding capabilities, Long-context handling

Supported Languages

en (Full support)

Training Details

Data Sources:

Source code, Text-code grounding, Synthetic data

Data Volume:

5.5 trillion tokens

Methodology:

Pretraining & Post-training

Context Length:

131072

Model Architecture:

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

Input Output

Accepted Modalities:

text

LLM Name	Qwen2.5 Coder 32B Instruct GPTQ Int8
Repository 🤗	https://huggingface.co/Qwen/Qwen2.5-Coder-32B-Instruct-GPTQ-Int8
Base Model(s)	Qwen/Qwen2.5-Coder-32B-Instruct Qwen/Qwen2.5-Coder-32B-Instruct
Model Size	32b
Required VRAM	35.1 GB
Updated	2026-04-05
Maintainer	Qwen
Model Type	qwen2
Instruction-Based	Yes
Model Files	3.9 GB: 1-of-9 4.0 GB: 2-of-9 4.0 GB: 3-of-9 4.0 GB: 4-of-9 4.0 GB: 5-of-9 4.0 GB: 6-of-9 4.0 GB: 7-of-9 4.0 GB: 8-of-9 3.2 GB: 9-of-9
Supported Languages	en
GPTQ Quantization	Yes
Quantization Type	gptq
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	float16
Errors	replace

Best Alternatives to Qwen2.5 Coder 32B Instruct GPTQ Int8

Best Alternatives	Context / RAM	Downloads	Likes
...5 Coder 32B Instruct GPTQ Int4	32K / 19.5 GB	13120	24
....5 Coder 32B Instruct Bnb 4bit	32K / 19.2 GB	5519	6
...wen2.5 Coder 32B Instruct 3bit	32K / 14.3 GB	83	4
...wen2.5 Coder 32B Instruct 4bit	32K / 18.5 GB	1635	12
...wen2.5 Coder 32B Instruct 8bit	32K / 34.9 GB	1190	13
...truct Gptqmodel 4bit Vortex V1	32K / 21.3 GB	58	16
...y Qwen2.5coder 32B V24.1q 200K	195K / 65.8 GB	8	2
Qwen2.5 32B YOYO MIX	128K / 65.7 GB	7	2
Qwen2.5 Coder 32B YOYO	128K / 65.8 GB	8	2
QwQ Qwen2.5 Coder Instruct 32B	128K / 65.8 GB	43	0

Note: green Score (e.g. "73.2") means that the model is better than Qwen/Qwen2.5-Coder-32B-Instruct-GPTQ-Int8.

Rank the Qwen2.5 Coder 32B Instruct GPTQ Int8 Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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

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Release v20260328a

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Qwen2.5 Coder 32B Instruct GPTQ Int8 Benchmarks

Qwen2.5 Coder 32B Instruct GPTQ Int8 Parameters and Internals

Best Alternatives to Qwen2.5 Coder 32B Instruct GPTQ Int8

Rank the Qwen2.5 Coder 32B Instruct GPTQ Int8 Capabilities

What open-source LLMs or SLMs are you in search of? 53232 in total.