What are the hardware requirements for DeepSeek R1 Distill Qwen 32B AWQ?

DeepSeek R1 Distill Qwen 32B AWQ requires approximately 19.4 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 DeepSeek R1 Distill Qwen 32B AWQ and how large is it?

DeepSeek R1 Distill Qwen 32B AWQ is developed by Valdemardi, 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 DeepSeek R1 Distill Qwen 32B AWQ?

DeepSeek R1 Distill Qwen 32B AWQ is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

DeepSeek R1 Distill Qwen 32B AWQ by Valdemardi — VRAM 19.4GB, 128K context

Name: DeepSeek R1 Distill Qwen 32B AWQ
Author: Valdemardi

DeepSeek R1 Distill Qwen 32B AWQ is an open-source language model by Valdemardi. Features: 32b LLM, VRAM: 19.4GB, Context: 128K, License: apache-2.0, Quantized, LLM Explorer Score: 0.21.

4-bit Awq Base model:deepseek-ai/deepsee... Base model:quantized:deepseek-... Conversational Endpoints compatible Quantized Qwen2 Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/Valdemardi/DeepSeek-R1-Distill-Qwen-32B-AWQ

DeepSeek R1 Distill Qwen 32B AWQ Parameters and Internals

LLM Name	DeepSeek R1 Distill Qwen 32B AWQ
Repository 🤗	https://huggingface.co/Valdemardi/DeepSeek-R1-Distill-Qwen-32B-AWQ
Base Model(s)	DeepSeek R1 Distill Qwen 32B deepseek-ai/DeepSeek-R1-Distill-Qwen-32B
Model Size	32b
Required VRAM	19.4 GB
Updated	2026-07-30
Maintainer	Valdemardi
Model Type	qwen2
Model Files	5.0 GB: 1-of-4 5.0 GB: 2-of-4 5.0 GB: 3-of-4 4.4 GB: 4-of-4
AWQ Quantization	Yes
Quantization Type	awq
Model Architecture	Qwen2ForCausalLM
License	apache-2.0
Context Length	131072
Model Max Length	131072
Transformers Version	4.47.1
Tokenizer Class	LlamaTokenizer
Padding Token	<｜end▁of▁sentence｜>
Vocabulary Size	152064
Torch Data Type	float16

Rank the DeepSeek R1 Distill Qwen 32B AWQ 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

Best Alternatives to DeepSeek R1 Distill Qwen 32B AWQ

Best Alternatives	Context / RAM	Downloads	Likes
...ekR1 QwQ SkyT1 32B Preview AWQ	128K / 19.4 GB	5	8
QwQ 32B AWQ	40K / 19.4 GB	31488	135
Qwen1.5 32B Chat AWQ	32K / 21.2 GB	23332	18
Qwen2.5 Coder 32B Instruct AWQ	32K / 19.4 GB	1730092	38
Qwen2.5 32B Instruct AWQ	32K / 19.4 GB	737541	102
Openhands Lm 32B V0.1 AWQ	32K / 19.4 GB	25	9
QwQ 32B Preview AWQ	32K / 19.4 GB	39	24
...Logic Mix 3 32B Mlx OptiQ 5bit	128K / 22.3 GB	41	1
...pSeek R1 Distill Qwen 32B 4bit	128K / 18.5 GB	7795	51
Hydraulic Deepseek 16bit	128K / 65.8 GB	52	0

Note: green Score (e.g. "73.2") means that the model is better than Valdemardi/DeepSeek-R1-Distill-Qwen-32B-AWQ.