What are the hardware requirements for QwQenSeek Coder?

QwQenSeek Coder requires approximately 65.7 GB of VRAM and supports a context window of 128K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed QwQenSeek Coder and how large is it?

QwQenSeek Coder is developed by Ba2han, 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 QwQenSeek Coder?

QwQenSeek Coder is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

QwQenSeek Coder by Ba2han — VRAM 65.7GB, 128K context

Name: QwQenSeek Coder
Author: Ba2han

QwQenSeek Coder is an open-source language model by Ba2han. Features: 32b LLM, VRAM: 65.7GB, Context: 128K, Instruction-Based, Code Generating, Merged, LLM Explorer Score: 0.16.

Merged Model Arxiv:2403.19522 Base model:deepseek-ai/deepsee... Base model:qwen/qwen2.5-32b Base model:qwen/qwen2.5-32b-in... Base model:qwen/qwen2.5-coder-... Base model:qwen/qwq-32b-previe... Codegen Conversational Endpoints compatible Instruct Qwen2 Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/Ba2han/QwQenSeek-coder

QwQenSeek Coder Parameters and Internals

LLM Name	QwQenSeek Coder
Repository 🤗	https://huggingface.co/Ba2han/QwQenSeek-coder
Base Model(s)	Qwen/Qwen2.5-32B-Instruct Qwen/Qwen2.5-32B QwQ 32B Preview DeepSeek R1 Distill Qwen 32B Qwen/Qwen2.5-Coder-32B-Instruct Qwen/Qwen2.5-32B-Instruct Qwen/Qwen2.5-32B Qwen/QwQ-32B-Preview deepseek-ai/DeepSeek-R1-Distill-Qwen-32B Qwen/Qwen2.5-Coder-32B-Instruct
Merged Model	Yes
Model Size	32b
Required VRAM	65.7 GB
Updated	2026-09-09
Maintainer	Ba2han
Model Type	qwen2
Instruction-Based	Yes
Model Files	5.0 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 1.9 GB: 14-of-14
Generates Code	Yes
Model Architecture	Qwen2ForCausalLM
Context Length	131072
Model Max Length	131072
Transformers Version	4.48.1
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151665
Torch Data Type	bfloat16
Errors	replace

Rank the QwQenSeek Coder 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 QwQenSeek Coder

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
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
Qwen2.5 Test 32B It	32K / 65.8 GB	0	10

Note: green Score (e.g. "73.2") means that the model is better than Ba2han/QwQenSeek-coder.