What are the hardware requirements for Qwen2.5 Coder 32B Instruct 128K Yarn?

Qwen2.5 Coder 32B Instruct 128K Yarn requires approximately 65.8 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 128K Yarn and how large is it?

Qwen2.5 Coder 32B Instruct 128K Yarn is developed by Sg-at-srijan-us-kg, a model with 32b 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 32B Instruct 128K Yarn?

Qwen2.5 Coder 32B Instruct 128K Yarn is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen2.5 Coder 32B Instruct 128K Yarn by Sg-at-srijan-us-kg — VRAM 65.8GB, 32K context

Name: Qwen2.5 Coder 32B Instruct 128K Yarn
Author: Sg-at-srijan-us-kg

Qwen2.5 Coder 32B Instruct 128K Yarn is an open-source language model by Sg-at-srijan-us-kg. Features: 32b LLM, VRAM: 65.8GB, Context: 32K, License: apache-2.0, Instruction-Based, Code Generating, LLM Explorer Score: 0.15.

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 En Instruct Qwen Qwen-coder Qwen2 Region:us Safetensors Sharded Tensorflow Yarn

Model Card on HF 🤗: https://huggingface.co/Sg-at-srijan-us-kg/Qwen2.5-Coder-32B-Instruct-128k-yarn

Qwen2.5 Coder 32B Instruct 128K Yarn Parameters and Internals

LLM Name	Qwen2.5 Coder 32B Instruct 128K Yarn
Repository 🤗	https://huggingface.co/Sg-at-srijan-us-kg/Qwen2.5-Coder-32B-Instruct-128k-yarn
Base Model(s)	Qwen/Qwen2.5-Coder-32B Qwen/Qwen2.5-Coder-32B
Model Size	32b
Required VRAM	65.8 GB
Updated	2026-07-20
Maintainer	Sg-at-srijan-us-kg
Model Type	qwen2
Instruction-Based	Yes
Model Files	4.9 GB: 1-of-14 4.9 GB: 2-of-14 4.9 GB: 3-of-14 4.9 GB: 4-of-14 4.9 GB: 5-of-14 4.9 GB: 6-of-14 4.9 GB: 7-of-14 4.9 GB: 8-of-14 4.9 GB: 9-of-14 4.9 GB: 10-of-14 4.9 GB: 11-of-14 4.9 GB: 12-of-14 4.9 GB: 13-of-14 2.1 GB: 14-of-14
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 32B Instruct 128K Yarn capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

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

Best Alternatives to Qwen2.5 Coder 32B Instruct 128K Yarn

Best Alternatives	Context / RAM	Downloads	Likes
...y Qwen2.5coder 32B V24.1q 200K	195K / 65.8 GB	9	2
Qwen2.5 32B YOYO MIX	128K / 65.7 GB	8	2
Qwen2.5 Coder 32B YOYO	128K / 65.8 GB	8	2
QwQ Qwen2.5 Coder Instruct 32B	128K / 65.8 GB	43	0
QwQenSeek Coder	128K / 65.7 GB	27	5
Rombos Coder V2.5 Qwen 32B	128K / 65.8 GB	10	19
Tessa T1 32B	117K / 65.8 GB	12	22
UIGEN T1.5 32B	117K / 65.8 GB	12	13
Qwen2.5 Coder 32B Instruct	32K / 65.8 GB	1265226	2087
Qwen2.5 Coder 32B Instruct	32K / 65.8 GB	2100	7

Note: green Score (e.g. "73.2") means that the model is better than Sg-at-srijan-us-kg/Qwen2.5-Coder-32B-Instruct-128k-yarn.