What are the hardware requirements for OTel LLM 20B IT?

OTel LLM 20B IT requires approximately 83.8 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 OTel LLM 20B IT and how large is it?

OTel LLM 20B IT is developed by att, a model with 20b 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 OTel LLM 20B IT?

OTel LLM 20B IT is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

OTel LLM 20B IT by att — VRAM 83.8GB, 128K context

Name: OTel LLM 20B IT
Author: att

OTel LLM 20B IT is an open-source language model by att. Features: 20b LLM, VRAM: 83.8GB, Context: 128K, License: apache-2.0.

Base model:finetune:openai/gpt... Base model:openai/gpt-oss-20b Conversational Dataset:farbodtavakkoli/otel-l... En Finetuned Full-parameter-fine-tuning Gpt oss Gsma Pytorch Rag Region:us Sharded Telecom Telecommunications

Model Card on HF 🤗: https://huggingface.co/att/OTel-LLM-20B-IT

OTel LLM 20B IT Parameters and Internals

LLM Name	OTel LLM 20B IT
Repository 🤗	https://huggingface.co/att/OTel-LLM-20B-IT
Base Model(s)	GPT Oss 20B openai/gpt-oss-20b
Model Size	20b
Required VRAM	83.8 GB
Updated	2026-10-27
Maintainer	att
Model Type	gpt_oss
Model Files	4.5 GB: 1-of-25 4.5 GB: 2-of-25 3.3 GB: 3-of-25 3.3 GB: 4-of-25 3.3 GB: 5-of-25 3.3 GB: 6-of-25 3.3 GB: 7-of-25 3.3 GB: 8-of-25 3.3 GB: 9-of-25 3.3 GB: 10-of-25 3.3 GB: 11-of-25 3.3 GB: 12-of-25 3.3 GB: 13-of-25 3.3 GB: 14-of-25 3.3 GB: 15-of-25 3.3 GB: 16-of-25 3.3 GB: 17-of-25 3.3 GB: 18-of-25 3.3 GB: 19-of-25 3.3 GB: 20-of-25 3.3 GB: 21-of-25 3.3 GB: 22-of-25 3.3 GB: 23-of-25 3.2 GB: 24-of-25 2.3 GB: 25-of-25
Supported Languages	en
Model Architecture	GptOssForCausalLM
License	apache-2.0
Context Length	131072
Model Max Length	131072
Transformers Version	4.57.6
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|endoftext\|>
Vocabulary Size	201088

Rank the OTel LLM 20B IT 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 LLM 20B IT

Best Alternatives	Context / RAM	Downloads	Likes
GPT Oss 20B	128K / 13.8 GB	7983620	4849
OTel LLM 20B Reasoning	128K / 83.8 GB	1040	1
GPT Oss 20B	128K / 13.8 GB	16416	47
GPT Oss Safeguard 20B	128K / 13.8 GB	154333	239
GPT OSS 20B NPU2	128K / GB	390025	1
Context 1	128K / 41.8 GB	726	414
Atlasv25 TRM Gptoss 20B	128K / 41.8 GB	579	0
GPT Oss 20B Antidoom	128K / 13.8 GB	45	1
OptiMind SFT	128K / 42 GB	15767	102
...s 20B BF16 W4a16 Llmcompressor	128K / 12.8 GB	178	1

Note: green Score (e.g. "73.2") means that the model is better than att/OTel-LLM-20B-IT.