What are the hardware requirements for II Search 4B?

II Search 4B requires approximately 8.9 GB of VRAM and supports a context window of 96K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed II Search 4B and how large is it?

II Search 4B is developed by Intelligent-Internet, 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 II Search 4B?

II Search 4B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

II Search 4B by Intelligent-Internet — VRAM 8.9GB, 96K context

Name: II Search 4B
Author: Intelligent-Internet

II Search 4B is an open-source language model by Intelligent-Internet. Features: 4b LLM, VRAM: 8.9GB, Context: 96K, License: apache-2.0, LLM Explorer Score: 0.2.

Base model:finetune:qwen/qwen3... Base model:qwen/qwen3-4b Conversational Deploy:azure Endpoints compatible Qwen3 Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/Intelligent-Internet/II-Search-4B

II Search 4B Parameters and Internals

LLM Name	II Search 4B
Repository 🤗	https://huggingface.co/Intelligent-Internet/II-Search-4B
Base Model(s)	Qwen/Qwen3-4B Qwen/Qwen3-4B
Model Size	4b
Required VRAM	8.9 GB
Updated	2026-07-05
Maintainer	Intelligent-Internet
Model Type	qwen3
Model Files	4.8 GB: 1-of-2 4.1 GB: 2-of-2
Model Architecture	Qwen3ForCausalLM
License	apache-2.0
Context Length	98304
Model Max Length	98304
Transformers Version	4.54.1
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Torch Data Type	bfloat16
Errors	replace

Rank the II Search 4B 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

Quantized Models of the II Search 4B

Model	Likes	Downloads	VRAM
II Search 4B GGUF	5	600	1 GB

Best Alternatives to II Search 4B

Best Alternatives	Context / RAM	Downloads	Likes
GRPO 4 70	256K / 8.1 GB	14	0
FastContext 1.0 4B SFT	256K / 8.1 GB	5735	357
Qwen3 4B Instruct 2507	256K / 8.1 GB	3109972	911
...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	345	210
Qwen3 4B Thinking 2507	256K / 8.1 GB	291023	606
FastContext 1.0 4B RL	256K / 8.1 GB	4559	61
Qwen3 4B Instruct 2507 FP8	256K / 5.2 GB	1100744	78
...fetensors.chatgpt GPT Codex V2	256K / 8.1 GB	666	2

Note: green Score (e.g. "73.2") means that the model is better than Intelligent-Internet/II-Search-4B.