What are the hardware requirements for OpenThinker 7B Summary Type3 E1 10000 2?

OpenThinker 7B Summary Type3 E1 10000 2 requires approximately 15.2 GB of VRAM and supports a context window of 32K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed OpenThinker 7B Summary Type3 E1 10000 2 and how large is it?

OpenThinker 7B Summary Type3 E1 10000 2 is developed by yufeng1, 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 OpenThinker 7B Summary Type3 E1 10000 2?

OpenThinker 7B Summary Type3 E1 10000 2 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

OpenThinker 7B Summary Type3 E1 10000 2 by yufeng1 — VRAM 15.2GB, 32K context

Name: OpenThinker 7B Summary Type3 E1 10000 2
Author: yufeng1

OpenThinker 7B Summary Type3 E1 10000 2 is an open-source language model by yufeng1. Features: 7b LLM, VRAM: 15.2GB, Context: 32K, LLM Explorer Score: 0.22.

Arxiv:1910.09700 Conversational Endpoints compatible Qwen2 Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/yufeng1/OpenThinker-7B-summary-type3-e1-10000-2

OpenThinker 7B Summary Type3 E1 10000 2 Parameters and Internals

LLM Name	OpenThinker 7B Summary Type3 E1 10000 2
Repository 🤗	https://huggingface.co/yufeng1/OpenThinker-7B-summary-type3-e1-10000-2
Model Size	7b
Required VRAM	15.2 GB
Updated	2026-09-19
Maintainer	yufeng1
Model Type	qwen2
Model Files	4.9 GB: 1-of-4 4.9 GB: 2-of-4 4.3 GB: 3-of-4 1.1 GB: 4-of-4
Model Architecture	Qwen2ForCausalLM
Context Length	32768
Model Max Length	32768
Transformers Version	4.57.3
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	152064
Errors	replace

Rank the OpenThinker 7B Summary Type3 E1 10000 2 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 OpenThinker 7B Summary Type3 E1 10000 2

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
Rewnozom	986K / 30.5 GB	742	1
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

Note: green Score (e.g. "73.2") means that the model is better than yufeng1/OpenThinker-7B-summary-type3-e1-10000-2.