What are the hardware requirements for Qwen3 4B Distill Deepseek Opus Gemini?

Qwen3 4B Distill Deepseek Opus Gemini requires approximately 8.1 GB of VRAM and supports a context window of 40K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwen3 4B Distill Deepseek Opus Gemini and how large is it?

Qwen3 4B Distill Deepseek Opus Gemini is developed by ertghiu256, a model with 4b 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 Qwen3 4B Distill Deepseek Opus Gemini?

Qwen3 4B Distill Deepseek Opus Gemini is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen3 4B Distill Deepseek Opus Gemini by ertghiu256 — VRAM 8.1GB, 40K context

Name: Qwen3 4B Distill Deepseek Opus Gemini
Author: ertghiu256

Qwen3 4B Distill Deepseek Opus Gemini is an open-source language model by ertghiu256. Features: 4b LLM, VRAM: 8.1GB, Context: 40K, License: apache-2.0, LLM Explorer Score: 0.24.

Base model:finetune:qwen/qwen3... Base model:qwen/qwen3-4b Conversational Dataset:angrygiraffe/claude-op... Dataset:jackrong/deepseek-v4-d... Dataset:roman1111111/gemini-3.... En Endpoints compatible Qwen3 Region:us Safetensors Sharded Tensorflow Unsloth

Model Card on HF 🤗: https://huggingface.co/ertghiu256/Qwen3-4B-distill-deepseek-opus-gemini

Qwen3 4B Distill Deepseek Opus Gemini Parameters and Internals

LLM Name	Qwen3 4B Distill Deepseek Opus Gemini
Repository 🤗	https://huggingface.co/ertghiu256/Qwen3-4B-distill-deepseek-opus-gemini
Base Model(s)	Qwen/Qwen3-4B Qwen/Qwen3-4B
Model Size	4b
Required VRAM	8.1 GB
Updated	2026-07-18
Maintainer	ertghiu256
Model Type	qwen3
Model Files	5.0 GB: 1-of-2 3.1 GB: 2-of-2
Supported Languages	en
Model Architecture	Qwen3ForCausalLM
License	apache-2.0
Context Length	40960
Model Max Length	40960
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|PAD_TOKEN\|>
Vocabulary Size	151936
Torch Data Type	float16
Errors	replace

Rank the Qwen3 4B Distill Deepseek Opus Gemini 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 Qwen3 4B Distill Deepseek Opus Gemini

Best Alternatives	Context / RAM	Downloads	Likes
Qwen3 4B Instruct 2507	256K / 8.1 GB	3109972	911
FastContext 1.0 4B SFT	256K / 8.1 GB	5735	357
GRPO 4 70	256K / 8.1 GB	12	0
...2.5 Flash Lite Preview Distill	256K / 8.1 GB	31	1
Lightning 4B	256K / 8.1 GB	13	6
Fable Traces	256K / 8.1 GB	374	210
Qwen3 4B Thinking 2507	256K / 8.1 GB	291023	606
Checkpoint 8000	256K / 8.1 GB	1453	0
FastContext 1.0 4B RL	256K / 8.1 GB	4559	61
Qwen Fine Tuned	256K / 8 GB	268	1

Note: green Score (e.g. "73.2") means that the model is better than ertghiu256/Qwen3-4B-distill-deepseek-opus-gemini.