What are the hardware requirements for Springer 32B RP 3?

Springer 32B RP 3 requires approximately 65.7 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 Springer 32B RP 3 and how large is it?

Springer 32B RP 3 is developed by marcuscedricridia, a model with 32b 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 Springer 32B RP 3?

Springer 32B RP 3 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Springer 32B RP 3 by marcuscedricridia — VRAM 65.7GB, 32K context

Name: Springer 32B RP 3
Author: marcuscedricridia

Springer 32B RP 3 is an open-source language model by marcuscedricridia. Features: 32b LLM, VRAM: 65.7GB, Context: 32K, Merged, LLM Explorer Score: 0.17.

Merged Model Arxiv:2406.11617 Base model:delta-vector/hamana... Base model:marcuscedricridia/s... Conversational Endpoints compatible Qwen2 Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/marcuscedricridia/Springer-32B-RP-3

Springer 32B RP 3 Parameters and Internals

LLM Name	Springer 32B RP 3
Repository 🤗	https://huggingface.co/marcuscedricridia/Springer-32B-RP-3
Base Model(s)	Hamanasu Magnum QwQ 32B Springer 32B Delta-Vector/Hamanasu-Magnum-QwQ-32B marcuscedricridia/Springer-32B
Merged Model	Yes
Model Size	32b
Required VRAM	65.7 GB
Updated	2026-04-17
Maintainer	marcuscedricridia
Model Type	qwen2
Model Files	5.0 GB: 1-of-14 4.9 GB: 2-of-14 4.9 GB: 3-of-14 4.9 GB: 4-of-14 4.9 GB: 5-of-14 4.9 GB: 6-of-14 4.9 GB: 7-of-14 4.9 GB: 8-of-14 4.9 GB: 9-of-14 4.9 GB: 10-of-14 4.9 GB: 11-of-14 4.9 GB: 12-of-14 4.9 GB: 13-of-14 1.9 GB: 14-of-14
Model Architecture	Qwen2ForCausalLM
Context Length	32768
Model Max Length	32768
Transformers Version	4.49.0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151665
Torch Data Type	bfloat16
Errors	replace

Rank the Springer 32B RP 3 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 Springer 32B RP 3

Best Alternatives	Context / RAM	Downloads	Likes
Openbuddy Qwq 32B V24.2 200K	195K / 65.8 GB	9	3
Openbuddy Qwq 32B V24.1 200K	195K / 65.8 GB	10	3
Openbuddy Qwq 32B V25.2q 200K	195K / 65.8 GB	1	4
...y Qwen2.5coder 32B V24.1q 200K	195K / 65.8 GB	9	2
DeepSeek R1 Distill Qwen 32B	128K / 65.7 GB	841633	1584
Qwen2.5 32B	128K / 65.5 GB	49206	180
RomboUltima 32B	128K / 20.7 GB	12	6
...wen2.5 32B Inst BaseMerge TIES	128K / 65.8 GB	16	17
Ultiima 32B	128K / 65.8 GB	11	7
...wen2.5 32B Inst BaseMerge TIES	128K / 65.8 GB	12	4

Note: green Score (e.g. "73.2") means that the model is better than marcuscedricridia/Springer-32B-RP-3.