What are the hardware requirements for Gemma 4 E4B Claude 4.6 Opus Reasoning Distilled?

Gemma 4 E4B Claude 4.6 Opus Reasoning Distilled requires approximately 1 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Gemma 4 E4B Claude 4.6 Opus Reasoning Distilled and how large is it?

Gemma 4 E4B Claude 4.6 Opus Reasoning Distilled is developed by arsovskidev, a model with 8b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

How does Gemma 4 E4B Claude 4.6 Opus Reasoning Distilled perform on standard benchmarks?

Gemma 4 E4B Claude 4.6 Opus Reasoning Distilled has the following published scores: LMSYS ELO 1318. Compare against reference models on this page or on the LLM Explorer leaderboards.

Gemma 4 E4B Claude 4.6 Opus Reasoning Distilled by arsovskidev — VRAM 1GB

Name: Gemma 4 E4B Claude 4.6 Opus Reasoning Distilled
Author: arsovskidev

Gemma 4 E4B Claude 4.6 Opus Reasoning Distilled is an open-source language model by arsovskidev. Features: 8b LLM, VRAM: 1GB, License: apache-2.0, Quantized, LLM Explorer Score: 0.4, ELO: 1318.

Base model:google/gemma-4-e4b-... Base model:quantized:google/ge... Chain-of-thought Conversational Dataset:nohurry/opus-4.6-reaso... Distillation En Endpoints compatible Gemma4 Gguf Image-text-to-text Opus Quantized Reasoning Region:us Safetensors Unsloth

Model Card on HF 🤗: https://huggingface.co/arsovskidev/Gemma-4-E4B-Claude-4.6-Opus-Reasoning-Distilled

Gemma 4 E4B Claude 4.6 Opus Reasoning Distilled Benchmarks

LMSys ELO 1318 vs 1272 (so35) 3.6%

^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)

Gemma 4 E4B Claude 4.6 Opus Reasoning Distilled Parameters and Internals

LLM Name	Gemma 4 E4B Claude 4.6 Opus Reasoning Distilled
Repository 🤗	https://huggingface.co/arsovskidev/Gemma-4-E4B-Claude-4.6-Opus-Reasoning-Distilled
Model Name	google/gemma-4-E4B-it
Base Model(s)	Gemma 4 E4B It google/gemma-4-E4B-it
Model Size	8b
Required VRAM	1 GB
Updated	2026-08-12
Maintainer	arsovskidev
Model Type	gemma4
Model Files	1.0 GB 5.3 GB 8.0 GB 16.0 GB
Supported Languages	en
GGUF Quantization	Yes
Quantization Type	gguf
Model Architecture	Gemma4ForConditionalGeneration
License	apache-2.0
Tokenizer Class	GemmaTokenizer
Padding Token	<pad>
Torch Data Type	bfloat16

Rank the Gemma 4 E4B Claude 4.6 Opus Reasoning Distilled 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

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Gemma 4 E4B It OBLITERATED	0K / 16 GB	58062	739
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Note: green Score (e.g. "73.2") means that the model is better than arsovskidev/Gemma-4-E4B-Claude-4.6-Opus-Reasoning-Distilled.