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

OTel LLM 20B Reasoning 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 Reasoning and how large is it?

OTel LLM 20B Reasoning is developed by farbodtavakkoli, a model with 20b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

How does OTel LLM 20B Reasoning perform on standard benchmarks?

OTel LLM 20B Reasoning has the following published scores: LMSYS ELO 1472. Compare against reference models on this page or on the LLM Explorer leaderboards.

OTel LLM 20B Reasoning by farbodtavakkoli — VRAM 83.8GB, 128K context

Name: OTel LLM 20B Reasoning
Author: farbodtavakkoli

OTel LLM 20B Reasoning is an open-source language model by farbodtavakkoli. Features: 20b LLM, VRAM: 83.8GB, Context: 128K, License: apache-2.0, LLM Explorer Score: 0.39, ELO: 1472.

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/farbodtavakkoli/OTel-LLM-20B-Reasoning

OTel LLM 20B Reasoning Benchmarks

LMSys ELO 1472 vs 1272 (so35) 15.7%

^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 LLM 20B Reasoning Parameters and Internals

LLM Name	OTel LLM 20B Reasoning
Repository 🤗	https://huggingface.co/farbodtavakkoli/OTel-LLM-20B-Reasoning
Base Model(s)	GPT Oss 20B openai/gpt-oss-20b
Model Size	20b
Required VRAM	83.8 GB
Updated	2026-08-02
Maintainer	farbodtavakkoli
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 Reasoning 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 OTel LLM 20B Reasoning

Best Alternatives	Context / RAM	Downloads	Likes
GPT Oss 20B	128K / 13.8 GB	7983620	4849
GPT Oss 20B	128K / 13.8 GB	16416	47
GPT Oss Safeguard 20B	128K / 13.8 GB	154333	239
Strawberry	128K / 41.6 GB	221	5
Strawberry 1	128K / 41.6 GB	406	2
Context 1	128K / 41.8 GB	726	414
GPT Oss 20B Heretic Ara V4	128K / 13.8 GB	5339	13
OptiMind SFT	128K / 42 GB	15767	102
GPT Oss 20B BF16	128K / 41.6 GB	96874	34
GPT Oss 20B Heretic	128K / 41.6 GB	2413	124

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