What are the hardware requirements for Deepseek Math 7B Instruct GGUF?

Deepseek Math 7B Instruct GGUF requires approximately 2.7 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Deepseek Math 7B Instruct GGUF and how large is it?

Deepseek Math 7B Instruct GGUF is developed by MaziyarPanahi, a model with 7b 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 Math 7B Instruct GGUF?

Deepseek Math 7B Instruct GGUF is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Deepseek Math 7B Instruct GGUF by MaziyarPanahi — VRAM 2.7GB

Name: Deepseek Math 7B Instruct GGUF
Author: MaziyarPanahi

Deepseek Math 7B Instruct GGUF is an open-source language model by MaziyarPanahi. Features: 7b LLM, VRAM: 2.7GB, Quantized, Instruction-Based, LLM Explorer Score: 0.11.

Arxiv:2402.03300 2-bit 3-bit 4-bit 5-bit 6-bit 8-bit Autotrain compatible Base model:deepseek-ai/deepsee... Base model:quantized:deepseek-... Conversational Endpoints compatible Gguf Has space Instruct Llama Mistral Pytorch Quantized Region:us

Model Card on HF 🤗: https://huggingface.co/MaziyarPanahi/deepseek-math-7b-instruct-GGUF

Deepseek Math 7B Instruct GGUF Parameters and Internals

Model Type

text-generation, conversational

LLM Name	Deepseek Math 7B Instruct GGUF
Repository 🤗	https://huggingface.co/MaziyarPanahi/deepseek-math-7b-instruct-GGUF
Model Name	deepseek-math-7b-instruct-GGUF
Model Creator	deepseek-ai
Base Model(s)	Deepseek Math 7B Instruct deepseek-ai/deepseek-math-7b-instruct
Model Size	7b
Required VRAM	2.7 GB
Updated	2026-06-30
Maintainer	MaziyarPanahi
Model Type	mistral
Instruction-Based	Yes
Model Files	2.7 GB 3.7 GB 3.5 GB 3.1 GB 4.2 GB 4.0 GB 4.9 GB 4.8 GB 5.7 GB 7.3 GB 13.8 GB
GGUF Quantization	Yes
Quantization Type	gguf
Model Architecture	AutoModel

Rank the Deepseek Math 7B Instruct GGUF 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 Math 7B Instruct GGUF

Best Alternatives	Context / RAM	Downloads	Likes
Pixel	8K / 4.4 GB	17	0
...ral 7B Instruct V0.2 Llamafile	0K / 14.5 GB	8850	25
Mistral 7B Instruct V0.3 GGUF	0K / 1.6 GB	91691	147
Qwen2 7B Instruct GGUF	0K / 1.9 GB	56414	10
Mistral 7B Instruct V0.2 GGUF	0K / 3.1 GB	70243	511
...hemeng Qwen Math 7b 24 1 100 1	0K / 15.2 GB	25	0
Qwen2 7B Instruct V0.6 GGUF	0K / 4.5 GB	13522	0
Qwen2 7B Instruct V0.1 GGUF	0K / 4.5 GB	9714	0
Qwen2 7B Instruct V0.7 GGUF	0K / 4.5 GB	9530	0
Qwen2 7B Instruct V0.3 GGUF	0K / 4.5 GB	8911	1

Note: green Score (e.g. "73.2") means that the model is better than MaziyarPanahi/deepseek-math-7b-instruct-GGUF.