What are the hardware requirements for Qwen2.5 Math 7B Instruct SocraticLM?

Qwen2.5 Math 7B Instruct SocraticLM requires approximately 15.2 GB of VRAM and supports a context window of 4K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwen2.5 Math 7B Instruct SocraticLM and how large is it?

Qwen2.5 Math 7B Instruct SocraticLM is developed by CogBase-USTC, 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 Qwen2.5 Math 7B Instruct SocraticLM?

Qwen2.5 Math 7B Instruct SocraticLM is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen2.5 Math 7B Instruct SocraticLM by CogBase-USTC — VRAM 15.2GB, 4K context

Name: Qwen2.5 Math 7B Instruct SocraticLM
Author: CogBase-USTC

Qwen2.5 Math 7B Instruct SocraticLM is an open-source language model by CogBase-USTC. Features: 7b LLM, VRAM: 15.2GB, Context: 4K, License: other, Instruction-Based, LLM Explorer Score: 0.16.

Conversational En Endpoints compatible Full Generated from trainer Instruct Llama-factory Qwen2 Region:us Safetensors Sharded Tensorflow Zh

Model Card on HF 🤗: https://huggingface.co/CogBase-USTC/Qwen2.5-Math-7B-Instruct-SocraticLM

Qwen2.5 Math 7B Instruct SocraticLM Parameters and Internals

LLM Name	Qwen2.5 Math 7B Instruct SocraticLM
Repository 🤗	https://huggingface.co/CogBase-USTC/Qwen2.5-Math-7B-Instruct-SocraticLM
Base Model(s)	Qwen2.5-Math-7B-Instruct /Qwen2.5-Math-7B-Instruct
Model Size	7b
Required VRAM	15.2 GB
Updated	2026-08-25
Maintainer	CogBase-USTC
Model Type	qwen2
Instruction-Based	Yes
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
Supported Languages	en zh
Model Architecture	Qwen2ForCausalLM
License	other
Context Length	4096
Model Max Length	4096
Transformers Version	4.46.2
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	152064
Torch Data Type	bfloat16
Errors	replace

Rank the Qwen2.5 Math 7B Instruct SocraticLM capabilities

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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 Qwen2.5 Math 7B Instruct SocraticLM

Best Alternatives	Context / RAM	Downloads	Likes
Qwen2.5 7B Instruct 1M	986K / 15.4 GB	52534	373
Hush Qwen2.5 7B RP V1.4 1M	986K / 15.2 GB	10	2
Qwen2.5 7B RRP 1M	986K / 15.2 GB	5	6
Qwen2.5 7B CelestialHarmony 1M	986K / 14.8 GB	8	7
Q2.5 Instruct 1M Harmony	986K / 15.2 GB	4	2
Impish QWEN 7B 1M	986K / 15.2 GB	4	6
COCO 7B Instruct 1M	986K / 15.2 GB	9	4
Apollo 7B	986K / 15.2 GB	8	0
Graph R1 7B	986K / 15.3 GB	7	3
Qwen2.5 7B Sky R1 Mini	986K / 15.2 GB	6	0

Note: green Score (e.g. "73.2") means that the model is better than CogBase-USTC/Qwen2.5-Math-7B-Instruct-SocraticLM.