What are the hardware requirements for Q2.5 DeepSeek R1 DeepThink Test1?

Q2.5 DeepSeek R1 DeepThink Test1 requires approximately 18.5 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 Q2.5 DeepSeek R1 DeepThink Test1 and how large is it?

Q2.5 DeepSeek R1 DeepThink Test1 is developed by Theros, 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 Q2.5 DeepSeek R1 DeepThink Test1?

Q2.5 DeepSeek R1 DeepThink Test1 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Q2.5 DeepSeek R1 DeepThink Test1 by Theros — VRAM 18.5GB, 128K context

Name: Q2.5 DeepSeek R1 DeepThink Test1
Author: Theros

Q2.5 DeepSeek R1 DeepThink Test1 is an open-source language model by Theros. Features: 7b LLM, VRAM: 18.5GB, Context: 128K, Merged, LLM Explorer Score: 0.16.

Merged Model Base model:finetune:huihui-ai/... Base model:huihui-ai/deepseek-... Conversational Endpoints compatible Qwen2 Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/Theros/Q2.5-DeepSeek-R1-DeepThink-test1

Q2.5 DeepSeek R1 DeepThink Test1 Parameters and Internals

LLM Name	Q2.5 DeepSeek R1 DeepThink Test1
Repository 🤗	https://huggingface.co/Theros/Q2.5-DeepSeek-R1-DeepThink-test1
Base Model(s)	...Distill Qwen 7B Abliterated V2 huihui-ai/DeepSeek-R1-Distill-Qwen-7B-abliterated-v2
Merged Model	Yes
Model Size	7b
Required VRAM	18.5 GB
Updated	2026-08-01
Maintainer	Theros
Model Type	qwen2
Model Files	5.0 GB: 1-of-4 4.9 GB: 2-of-4 5.0 GB: 3-of-4 3.6 GB: 4-of-4
Model Architecture	Qwen2ForCausalLM
Context Length	131072
Model Max Length	131072
Transformers Version	4.48.2
Tokenizer Class	LlamaTokenizer
Padding Token	<｜end▁of▁sentence｜>
Vocabulary Size	152064
Torch Data Type	bfloat16

Rank the Q2.5 DeepSeek R1 DeepThink Test1 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 Q2.5 DeepSeek R1 DeepThink Test1

Best Alternatives	Context / RAM	Downloads	Likes
Qwen2.5 7B Preview	986K / 15.2 GB	10	0
Qwen2.5 7B Instruct 1M	986K / 15.4 GB	52534	373
Hush Qwen2.5 7B V1.2	986K / 15.2 GB	4	1
Hush Qwen2.5 7B V1.1	986K / 15.2 GB	5	1
Hush Qwen2.5 7B V1.4	986K / 15.2 GB	8	1
Hush Qwen2.5 7B Preview	986K / 15.2 GB	5	0
Hush Qwen2.5 7B V1.3	986K / 15.2 GB	10	2
Hush Qwen2.5 7B RP V1.4 1M	986K / 15.2 GB	10	2
Qwen 2.5 7B Exp Sce	986K / 15.2 GB	10	2
Qwen2.5 7B MixStock V0.1	986K / 15.2 GB	6	3

Note: green Score (e.g. "73.2") means that the model is better than Theros/Q2.5-DeepSeek-R1-DeepThink-test1.