What are the hardware requirements for OTel 2.0 Decision 26B A4B 4bit?

OTel 2.0 Decision 26B A4B 4bit requires approximately 17.3 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed OTel 2.0 Decision 26B A4B 4bit and how large is it?

OTel 2.0 Decision 26B A4B 4bit is developed by att, a model with 26b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

How does OTel 2.0 Decision 26B A4B 4bit perform on standard benchmarks?

OTel 2.0 Decision 26B A4B 4bit has the following published scores: LMSYS ELO 1438. Compare against reference models on this page or on the LLM Explorer leaderboards.

OTel 2.0 Decision 26B A4B 4bit by att — VRAM 17.3GB

Name: OTel 2.0 Decision 26B A4B 4bit
Author: att

OTel 2.0 Decision 26B A4B 4bit is an open-source language model by att. Features: 26b LLM, VRAM: 17.3GB, License: apache-2.0, Quantized, LLM Explorer Score: 0.43, ELO: 1438.

4-bit 4bit Amd Awq Base model:google/gemma-4-26b-... Base model:quantized:google/ge... Classification Compressed-tensors Conversational Decision-engine En Gemma4 Mixture-of-experts Open-telco-ai Quantized Region:us Rocm Safetensors Sharded Telecom Telecommunications Tensorflow Typed-decisions Vllm W4a16

Model Card on HF 🤗: https://huggingface.co/att/OTel-2.0-Decision-26B-A4B-4bit

OTel 2.0 Decision 26B A4B 4bit Benchmarks

LMSys ELO 1438 vs 1272 (so35) 13.1%

^nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

What is the LLM Explorer Rank (Score)

OTel 2.0 Decision 26B A4B 4bit Parameters and Internals

LLM Name	OTel 2.0 Decision 26B A4B 4bit
Repository 🤗	https://huggingface.co/att/OTel-2.0-Decision-26B-A4B-4bit
Base Model(s)	Gemma 4 26B A4B It google/gemma-4-26B-A4B-it
Model Size	26b
Required VRAM	17.3 GB
Updated	2026-10-10
Maintainer	att
Model Type	gemma4
Model Files	5.4 GB: 1-of-4 5.4 GB: 2-of-4 5.4 GB: 3-of-4 1.1 GB: 4-of-4
Supported Languages	en
Quantization Type	4bit
Model Architecture	Gemma4ForConditionalGeneration
License	apache-2.0
Transformers Version	5.5.0.dev0
Tokenizer Class	GemmaTokenizer
Padding Token	<pad>

Rank the OTel 2.0 Decision 26B A4B 4bit 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 OTel 2.0 Decision 26B A4B 4bit

Best Alternatives	Context / RAM	Downloads	Likes
...6B A4B It Qat Q4 0 Unquantized	0K / 51.6 GB	33696	50
Gemma 4 26B A4b It 4bit	0K / 15.4 GB	27543	79
...6B A4B It Qat Q4 0 Unquantized	0K / 51.6 GB	3487	3
Gemma 4 26B A4b It 8bit	0K / 27.9 GB	2917	14
Gemma 4 26B A4b It UD MLX 4bit	0K / 16.2 GB	1527	34
Gemma 4 26B A4b It MLX 8bit	0K / 27.9 GB	936	16
...at Q4 0 Unquantized Heretic Ja	0K / 51.6 GB	34	1
Gemma 4 26B A4b 4bit	0K / 15.6 GB	488	19
Gemma 4 26B A4b It 6bit	0K / 21.7 GB	611	7
Gemma 4 26B A4b It UD MLX 3bit	0K / 13.1 GB	455	8

Note: green Score (e.g. "73.2") means that the model is better than att/OTel-2.0-Decision-26B-A4B-4bit.