What are the hardware requirements for DeepSeek V4 Pro Qwen3.5 9B NVFP4 GPTQ?

DeepSeek V4 Pro Qwen3.5 9B NVFP4 GPTQ requires approximately 8.9 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed DeepSeek V4 Pro Qwen3.5 9B NVFP4 GPTQ and how large is it?

DeepSeek V4 Pro Qwen3.5 9B NVFP4 GPTQ is developed by prithivMLmods, a model with 9b 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 V4 Pro Qwen3.5 9B NVFP4 GPTQ?

DeepSeek V4 Pro Qwen3.5 9B NVFP4 GPTQ is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

DeepSeek V4 Pro Qwen3.5 9B NVFP4 GPTQ by prithivMLmods — VRAM 8.9GB

Name: DeepSeek V4 Pro Qwen3.5 9B NVFP4 GPTQ
Author: prithivMLmods

DeepSeek V4 Pro Qwen3.5 9B NVFP4 GPTQ is an open-source language model by prithivMLmods. Features: 9b LLM, VRAM: 8.9GB, License: apache-2.0, Quantized, LLM Explorer Score: 0.31.

8-bit B200 B300 Base model:jackrong/deepseek-v... Base model:quantized:jackrong/... Blackwell Compressed-tensors Conversational Dataset:huggingfaceh4/ultracha... Deepseek Distillation En Endpoints compatible Es Fp4 Function-calling Gb202 Gptq Gspo Image-text-to-text Ja Ko Llama-cpp Math Mtp Nvidia-blackwell Quantized Qwen3.5 Qwen3 5 Reasoning Region:us Rl Rtx-pro-6000 Ru Safetensors Sft Sharded Sm120 Speculative-decoding Stem Tensorflow Tool-use Unsloth Zh

Model Card on HF 🤗: https://huggingface.co/prithivMLmods/DeepSeek-V4-Pro-Qwen3.5-9B-NVFP4-GPTQ

DeepSeek V4 Pro Qwen3.5 9B NVFP4 GPTQ Parameters and Internals

LLM Name	DeepSeek V4 Pro Qwen3.5 9B NVFP4 GPTQ
Repository 🤗	https://huggingface.co/prithivMLmods/DeepSeek-V4-Pro-Qwen3.5-9B-NVFP4-GPTQ
Model Name	unsloth/Qwen3.5-9B
Base Model(s)	Jackrong/DeepSeek-V4-Pro-Qwen3.5-9B Jackrong/DeepSeek-V4-Pro-Qwen3.5-9B
Model Size	9b
Required VRAM	8.9 GB
Updated	2026-11-11
Maintainer	prithivMLmods
Model Type	qwen3_5
Model Files	5.0 GB: 1-of-2 3.9 GB: 2-of-2 0.5 GB
Supported Languages	en zh ko ja es ru
GPTQ Quantization	Yes
Quantization Type	gptq
Model Architecture	Qwen3_5ForConditionalGeneration
License	apache-2.0
Model Max Length	262144
Tokenizer Class	Qwen3_5Tokenizer
Padding Token	<\|vision_pad\|>
Torch Data Type	bfloat16
Errors	replace

Rank the DeepSeek V4 Pro Qwen3.5 9B NVFP4 GPTQ 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 DeepSeek V4 Pro Qwen3.5 9B NVFP4 GPTQ

Best Alternatives	Context / RAM	Downloads	Likes
...r Flash Heretic GPTQPro W4 G64	0K / 9.3 GB	47	1
... Pro Qwen3.5 9B GPTQPro W4 G64	0K / 9.3 GB	64	1
Qwen3.5 9B MLX 4bit	0K / 5.9 GB	580012	4
Qwen3.5 9B MLX 8bit	0K / 10.4 GB	550497	1
... UNCENSORED Heretic NVFP4 GPTQ	0K / 8.9 GB	78	2
Qwen3.5 9B MLX 4bit	0K / 5.9 GB	22827	151
...2.6 Distill Qwen 9B OptiQ 4bit	0K / 7.1 GB	1916	6
Ornith 1.5 9B MLX 4bit	0K / 5 GB	3043	18
Ornith 1.0 9B 4bit	0K / 5.9 GB	9791	9
Qwen3.5 9B 8bit	0K / 10.4 GB	45652	17

Note: green Score (e.g. "73.2") means that the model is better than prithivMLmods/DeepSeek-V4-Pro-Qwen3.5-9B-NVFP4-GPTQ.