What are the hardware requirements for Deepthink Reasoning 7B GGUF?

Deepthink Reasoning 7B GGUF requires approximately 4.7 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Deepthink Reasoning 7B GGUF and how large is it?

Deepthink Reasoning 7B GGUF is developed by prithivMLmods, 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 Deepthink Reasoning 7B GGUF?

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

Deepthink Reasoning 7B GGUF by prithivMLmods — VRAM 4.7GB

Name: Deepthink Reasoning 7B GGUF
Author: prithivMLmods

Deepthink Reasoning 7B GGUF is an open-source language model by prithivMLmods. Features: 7b LLM, VRAM: 4.7GB, License: creativeml-openrail-m, Quantized, LLM Explorer Score: 0.16.

7b Algorithm Base model:prithivmlmods/deept... Base model:quantized:prithivml... Code-solve Codepy Conversational Cot Deep-think En Endpoints compatible Gguf Llama-cpp Ollama Quantized Qwen2 Qwen base Region:us

Model Card on HF 🤗: https://huggingface.co/prithivMLmods/Deepthink-Reasoning-7B-GGUF

Deepthink Reasoning 7B GGUF Parameters and Internals

LLM Name	Deepthink Reasoning 7B GGUF
Repository 🤗	https://huggingface.co/prithivMLmods/Deepthink-Reasoning-7B-GGUF
Base Model(s)	Deepthink Reasoning 7B prithivMLmods/Deepthink-Reasoning-7B
Model Size	7b
Required VRAM	4.7 GB
Updated	2026-08-03
Maintainer	prithivMLmods
Model Type	qwen2
Model Files	15.2 GB 4.7 GB 5.4 GB 8.1 GB
Supported Languages	en
GGUF Quantization	Yes
Quantization Type	gguf
Model Architecture	AutoModel
License	creativeml-openrail-m

Rank the Deepthink Reasoning 7B 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 Deepthink Reasoning 7B GGUF

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...ral 7B Instruct V0.2 Llamafile	0K / 14.5 GB	8850	25
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Mistral 7B Instruct V0.3 GGUF	0K / 1.6 GB	91691	147
CleverBoi 7B V2	0K / 0.1 GB	586	0
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...hemeng Qwen Math 7b 24 1 100 1	0K / 15.2 GB	25	0
Mistral 7B Instruct V0.2 GGUF	0K / 3.1 GB	70243	511

Note: green Score (e.g. "73.2") means that the model is better than prithivMLmods/Deepthink-Reasoning-7B-GGUF.