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: 0.41.

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 Benchmarks

LLME Score: 0.40608

^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 E4B IT (farbodtavakkoli/OTel-LLM-E4B-IT)

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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	2026-07-12
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>

Best Alternatives to OTel LLM E4B IT

Best Alternatives	Context / RAM	Downloads	Likes
...s Reasoning GeminiCLI Mlx 4bit	0K / 11 GB	5323	28
Gemma 4 E4B It GGUF	0K / 1 GB	594260	536
Gemma 4 E2B It GGUF	0K / 1 GB	796431	245
Lemer	0K / 3.2 GB	241	2

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

Rank the OTel LLM E4B IT Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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

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Release v20260328a

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OTel LLM E4B IT by farbodtavakkoli

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OTel LLM E4B IT Benchmarks

OTel LLM E4B IT Parameters and Internals

Best Alternatives to OTel LLM E4B IT

Rank the OTel LLM E4B IT Capabilities

What open-source LLMs or SLMs are you in search of? 55029 in total.