What are the hardware requirements for OTel LLM E4B IT?

OTel LLM E4B IT requires approximately 31.5 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed OTel LLM E4B IT and how large is it?

OTel LLM E4B IT is developed by farbodtavakkoli. 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 E4B IT?

OTel LLM E4B IT is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

OTel LLM E4B IT by farbodtavakkoli — VRAM 31.5GB

Name: OTel LLM E4B IT
Author: farbodtavakkoli

OTel LLM E4B IT is an open-source language model by farbodtavakkoli. Features: LLM, VRAM: 31.5GB, License: apache-2.0, LLM Explorer Score: 0.39.

Base model:finetune:google/gem... Base model:google/gemma-4-e4b-... Conversational Dataset:farbodtavakkoli/otel-l... En Finetuned Full-parameter-fine-tuning Gemma4 Gsma Pytorch Rag Region:us Sharded Telecom Telecommunications

Model Card on HF 🤗: https://huggingface.co/farbodtavakkoli/OTel-LLM-E4B-IT

OTel LLM E4B IT Parameters and Internals

LLM Name	OTel LLM E4B IT
Repository 🤗	https://huggingface.co/farbodtavakkoli/OTel-LLM-E4B-IT
Base Model(s)	Gemma 4 E4B It google/gemma-4-E4B-it
Required VRAM	31.5 GB
Updated	2026-07-15
Maintainer	farbodtavakkoli
Model Type	gemma4
Model Files	5.0 GB: 1-of-6 4.9 GB: 2-of-6 5.0 GB: 3-of-6 11.3 GB: 4-of-6 5.0 GB: 5-of-6 0.3 GB: 6-of-6
Supported Languages	en
Model Architecture	Gemma4ForConditionalGeneration
License	apache-2.0
Model Max Length	1500
Transformers Version	5.9.0
Tokenizer Class	GemmaTokenizer
Padding Token	<pad>

Rank the OTel LLM E4B 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 E4B IT

Best Alternatives	Context / RAM	Downloads	Likes
Sulphur Caption	0K / GB	47	4
...s Reasoning GeminiCLI Mlx 4bit	0K / 11 GB	156680	31
Gemma 4 E4B It GGUF	0K / 1 GB	510433	566
Gemma 4 E2B It GGUF	0K / 0.1 GB	496984	256
Lemer	0K / 3.2 GB	292	2

Note: green Score (e.g. "73.2") means that the model is better than farbodtavakkoli/OTel-LLM-E4B-IT.