What are the hardware requirements for Springer1.1 32B Qwen2.5 Coder?

Springer1.1 32B Qwen2.5 Coder 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 Springer1.1 32B Qwen2.5 Coder and how large is it?

Springer1.1 32B Qwen2.5 Coder 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 Springer1.1 32B Qwen2.5 Coder?

Springer1.1 32B Qwen2.5 Coder is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Springer1.1 32B Qwen2.5 Coder by marcuscedricridia — VRAM 65.7GB, 32K context

Name: Springer1.1 32B Qwen2.5 Coder
Author: marcuscedricridia

Springer1.1 32B Qwen2.5 Coder is an open-source language model by marcuscedricridia. Features: 32b LLM, VRAM: 65.7GB, Context: 32K, Code Generating, Merged, LLM Explorer Score: 0.17.

Merged Model Arxiv:2403.19522 Base model:marcuscedricridia/s... Base model:marcuscedricridia/s... Base model:marcuscedricridia/s... Base model:marcuscedricridia/s... Base model:marcuscedricridia/s... Base model:marcuscedricridia/s... Codegen Conversational Endpoints compatible Qwen2 Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/marcuscedricridia/Springer1.1-32B-Qwen2.5-Coder

Springer1.1 32B Qwen2.5 Coder Parameters and Internals

LLM Name	Springer1.1 32B Qwen2.5 Coder
Repository 🤗	https://huggingface.co/marcuscedricridia/Springer1.1-32B-Qwen2.5-Coder
Base Model(s)	Springer 32B Coder 3 Springer 32B Coder 2 Springer 32B Coder 5 Springer 32B Coder 1 Springer 32B Coder 4 Springer 32B Restore marcuscedricridia/Springer-32B-Coder-3 marcuscedricridia/Springer-32B-Coder-2 marcuscedricridia/Springer-32B-Coder-5 marcuscedricridia/Springer-32B-Coder-1 marcuscedricridia/Springer-32B-Coder-4 marcuscedricridia/Springer-32B-Restore
Merged Model	Yes
Model Size	32b
Required VRAM	65.7 GB
Updated	2026-08-03
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
Generates Code	Yes
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 Springer1.1 32B Qwen2.5 Coder 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 Springer1.1 32B Qwen2.5 Coder

Best Alternatives	Context / RAM	Downloads	Likes
...y Qwen2.5coder 32B V24.1q 200K	195K / 65.8 GB	9	2
...2.5 Godzilla Coder V2 51B 128K	128K / 102.1 GB	8	1
Qwen2.5 32B YOYO V2	128K / 65.7 GB	11	1
QwQ Coder R1 Distill 32B	128K / 65.8 GB	8	0
Qwen2.5 32B YOYO MIX	128K / 65.7 GB	8	2
Qwen2.5 Coder 32B YOYO	128K / 65.8 GB	8	2
YOYO O1 32B V2	128K / 65.7 GB	6	3
QwQ Coder 32B	128K / 65.7 GB	10	7
QwQ Qwen2.5 Coder Instruct 32B	128K / 65.8 GB	43	0
Reasoning TIES Coder V1.1	128K / 65.7 GB	15	2

Note: green Score (e.g. "73.2") means that the model is better than marcuscedricridia/Springer1.1-32B-Qwen2.5-Coder.