What are the hardware requirements for 3arabLM 4B Fiqh V1?

3arabLM 4B Fiqh V1 requires approximately 8.4 GB of VRAM and supports a context window of 256K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed 3arabLM 4B Fiqh V1 and how large is it?

3arabLM 4B Fiqh V1 is developed by sherif1313, 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 3arabLM 4B Fiqh V1?

3arabLM 4B Fiqh V1 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

3arabLM 4B Fiqh V1 by sherif1313 — VRAM 8.4GB, 256K context

Name: 3arabLM 4B Fiqh V1
Author: sherif1313

3arabLM 4B Fiqh V1 is an open-source language model by sherif1313. Features: 4b LLM, VRAM: 8.4GB, Context: 256K, License: apache-2.0, LLM Explorer Score: 0.26.

Ar Conversational Qwen3 5 text Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/sherif1313/3arabLM-4B-Fiqh-v1

3arabLM 4B Fiqh V1 Parameters and Internals

LLM Name	3arabLM 4B Fiqh V1
Repository 🤗	https://huggingface.co/sherif1313/3arabLM-4B-Fiqh-v1
Model Size	4b
Required VRAM	8.4 GB
Updated	2026-08-27
Maintainer	sherif1313
Model Type	qwen3_5_text
Model Files	8.4 GB
Supported Languages	ar
Model Architecture	Qwen3_5ForCausalLM
License	apache-2.0
Context Length	262144
Model Max Length	262144
Transformers Version	5.14.1
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	248320
Errors	replace

Rank the 3arabLM 4B Fiqh V1 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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Note: green Score (e.g. "73.2") means that the model is better than sherif1313/3arabLM-4B-Fiqh-v1.