What are the hardware requirements for Span 02?

Span 02 requires approximately 16.4 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Span 02 and how large is it?

Span 02 is developed by respanai, a model with 26b 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 Span 02?

Span 02 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Span 02 by respanai — VRAM 16.4GB

Name: Span 02
Author: respanai

Span 02 is an open-source language model by respanai. Features: 26b LLM, VRAM: 16.4GB, License: apache-2.0, LLM Explorer Score: 0.37.

8-bit Base model:finetune:google/gem... Base model:google/gemma-4-26b-... Conversational Custom-engine Decision-index Fp8 Gemma4 Image-text-to-text Moe Nvfp4 Quantized Region:us Safetensors Typed-outputs

Model Card on HF 🤗: https://huggingface.co/respanai/span-02

Span 02 Parameters and Internals

LLM Name	Span 02
Repository 🤗	https://huggingface.co/respanai/span-02
Base Model(s)	Gemma 4 26B A4B It google/gemma-4-26B-A4B-it
Model Size	26b
Required VRAM	16.4 GB
Updated	2026-10-19
Maintainer	respanai
Model Type	gemma4
Model Files	16.4 GB
Model Architecture	Gemma4ForConditionalGeneration
License	apache-2.0
Transformers Version	5.17.0
Tokenizer Class	GemmaTokenizer
Padding Token	<pad>

Rank the Span 02 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 Span 02

Best Alternatives	Context / RAM	Downloads	Likes
GEV 26B Decide	0K / 51.6 GB	1013022	2316
Gemma 4 26B A4B It	0K / 51.6 GB	10405989	1007
Gemma 4 26B A4B	0K / 51.6 GB	624397	370
Gemma 4 26B A4B It	0K / 51.6 GB	29972	29
Gemma 4 26B A4B StyleTune V2	0K / 53.1 GB	1598	49
Gemma 4 26B A4B	0K / 51.6 GB	3368	19
Gemma 4 26B A4b It Bf16	0K / 51.6 GB	1517	3
Gemma 4 26B A4B NVFP4	0K / 18.8 GB	1424962	126
Gemma 4 26B A4B It FP8 Dynamic	0K / 28.6 GB	1136349	38
Gemma 4 26B A4B It NVFP4	0K / 16.9 GB	154663	21

Note: green Score (e.g. "73.2") means that the model is better than respanai/span-02.