What are the hardware requirements for Deepseek Qwen2.5 Math 1.5B Baseline Init?

Deepseek Qwen2.5 Math 1.5B Baseline Init requires approximately 8.2 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 Deepseek Qwen2.5 Math 1.5B Baseline Init and how large is it?

Deepseek Qwen2.5 Math 1.5B Baseline Init is developed by hdong0, a model with 1.5b 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 Qwen2.5 Math 1.5B Baseline Init?

Deepseek Qwen2.5 Math 1.5B Baseline Init is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Deepseek Qwen2.5 Math 1.5B Baseline Init by hdong0 — VRAM 8.2GB, 128K context

Name: Deepseek Qwen2.5 Math 1.5B Baseline Init
Author: hdong0

Deepseek Qwen2.5 Math 1.5B Baseline Init is an open-source language model by hdong0. Features: 1.5b LLM, VRAM: 8.2GB, Context: 128K, LLM Explorer Score: 0.19.

Arxiv:1910.09700 Conversational Custom code Qwen2bm Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/hdong0/deepseek-Qwen2.5-Math-1.5B-baseline-init

Deepseek Qwen2.5 Math 1.5B Baseline Init Parameters and Internals

LLM Name	Deepseek Qwen2.5 Math 1.5B Baseline Init
Repository 🤗	https://huggingface.co/hdong0/deepseek-Qwen2.5-Math-1.5B-baseline-init
Model Size	1.5b
Required VRAM	8.2 GB
Updated	2026-08-03
Maintainer	hdong0
Model Type	qwen2bm
Model Files	5.0 GB: 1-of-2 3.2 GB: 2-of-2
Model Architecture	Qwen2BMForCausalLM
Context Length	131072
Model Max Length	131072
Transformers Version	4.52.0.dev0
Tokenizer Class	LlamaTokenizerFast
Padding Token	<｜end▁of▁sentence｜>
Vocabulary Size	151936
Torch Data Type	float32

Rank the Deepseek Qwen2.5 Math 1.5B Baseline Init 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 Deepseek Qwen2.5 Math 1.5B Baseline Init

Best Alternatives	Context / RAM	Downloads	Likes
...wen2.5 1.5B Baseline Thin Init	128K / 7.5 GB	6	0
...wen2.5 Math 1.5B Baseline Init	4K / 7.2 GB	13	0

Note: green Score (e.g. "73.2") means that the model is better than hdong0/deepseek-Qwen2.5-Math-1.5B-baseline-init.