What are the hardware requirements for Qwen3 4B HindiNER All Exp4?

Qwen3 4B HindiNER All Exp4 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 HindiNER All Exp4 and how large is it?

Qwen3 4B HindiNER All Exp4 is developed by nis12ram, 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 HindiNER All Exp4?

Qwen3 4B HindiNER All Exp4 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen3 4B HindiNER All Exp4 by nis12ram — VRAM 8.1GB, 40K context

Name: Qwen3 4B HindiNER All Exp4
Author: nis12ram

Qwen3 4B HindiNER All Exp4 is an open-source language model by nis12ram. Features: 4b LLM, VRAM: 8.1GB, Context: 40K, License: apache-2.0, LLM Explorer Score: 0.17.

Autotrain compatible Base model:finetune:unsloth/qw... Base model:unsloth/qwen3-4b Conversational En Endpoints compatible Qwen3 Region:us Safetensors Sft Sharded Tensorflow Trl Unsloth

Model Card on HF 🤗: https://huggingface.co/nis12ram/qwen3-4b-hindiNER-all-exp4

Qwen3 4B HindiNER All Exp4 Parameters and Internals

LLM Name	Qwen3 4B HindiNER All Exp4
Repository 🤗	https://huggingface.co/nis12ram/qwen3-4b-hindiNER-all-exp4
Base Model(s)	Qwen3 4B unsloth/Qwen3-4B
Model Size	4b
Required VRAM	8.1 GB
Updated	2025-06-10
Maintainer	nis12ram
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
Transformers Version	4.51.3
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|vision_pad\|>
Vocabulary Size	151936
Torch Data Type	bfloat16
Errors	replace

Rank the Qwen3 4B HindiNER All Exp4 capabilities

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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
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FastContext 1.0 4B SFT	256K / 8.1 GB	5735	357
...2.5 Flash Lite Preview Distill	256K / 8.1 GB	31	1
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...orm3200 Impl Verl S11 Step 039	256K / 8.1 GB	391	1

Note: green Score (e.g. "73.2") means that the model is better than nis12ram/qwen3-4b-hindiNER-all-exp4.