What are the hardware requirements for II Search CIR 4B?

II Search CIR 4B requires approximately 16.1 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 II Search CIR 4B and how large is it?

II Search CIR 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 CIR 4B?

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

II Search CIR 4B by Intelligent-Internet — VRAM 16.1GB, 40K context

Name: II Search CIR 4B
Author: Intelligent-Internet

II Search CIR 4B is an open-source language model by Intelligent-Internet. Features: 4b LLM, VRAM: 16.1GB, Context: 40K, License: apache-2.0, LLM Explorer Score: 0.19.

Conversational Deploy:azure Endpoints compatible Qwen3 Region:us Safetensors Sharded Tensorflow

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

II Search CIR 4B Parameters and Internals

LLM Name	II Search CIR 4B
Repository 🤗	https://huggingface.co/Intelligent-Internet/II-Search-CIR-4B
Model Size	4b
Required VRAM	16.1 GB
Updated	2026-07-28
Maintainer	Intelligent-Internet
Model Type	qwen3
Model Files	5.0 GB: 1-of-4 4.9 GB: 2-of-4 5.0 GB: 3-of-4 1.2 GB: 4-of-4
Model Architecture	Qwen3ForCausalLM
License	apache-2.0
Context Length	40960
Model Max Length	40960
Transformers Version	4.54.0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Torch Data Type	float32
Errors	replace

Rank the II Search CIR 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

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Qwen3 4B Instruct 2507	256K / 8.1 GB	3109972	911
GRPO 4 70	256K / 8.1 GB	13	0
FastContext 1.0 4B SFT	256K / 8.1 GB	5735	357
...2.5 Flash Lite Preview Distill	256K / 8.1 GB	31	1
Lightning 4B	256K / 8.1 GB	13	6
Qwen3 4B Thinking 2507	256K / 8.1 GB	291023	606
Fable Traces	256K / 8.1 GB	342	210
Hades 4B Abliterated	256K / 8.1 GB	173	1
FastContext 1.0 4B RL	256K / 8.1 GB	4559	61
...en3 4B Instruct 2507 Depressed	256K / 8.1 GB	215	1

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