What are the hardware requirements for Phi 3 Bangla Instruct?

Phi 3 Bangla Instruct requires approximately 0.5 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Phi 3 Bangla Instruct and how large is it?

Phi 3 Bangla Instruct is developed by ragibhasan, 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 Phi 3 Bangla Instruct?

Phi 3 Bangla Instruct is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Phi 3 Bangla Instruct by ragibhasan — VRAM 0.5GB

Name: Phi 3 Bangla Instruct
Author: ragibhasan

Phi 3 Bangla Instruct is an open-source language model by ragibhasan. Features: 4b LLM, VRAM: 0.5GB, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.12.

4-bit Bitsandbytes Bn Conversational Endpoints compatible Instruct Lora Mistral Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/ragibhasan/phi-3-bangla-instruct

Phi 3 Bangla Instruct Parameters and Internals

LLM Name	Phi 3 Bangla Instruct
Repository 🤗	https://huggingface.co/ragibhasan/phi-3-bangla-instruct
Model Size	4b
Required VRAM	0.5 GB
Updated	2026-07-24
Maintainer	ragibhasan
Instruction-Based	Yes
Model Files	0.5 GB 2.4 GB
Supported Languages	bn
Model Architecture	AutoModelForCausalLM
License	apache-2.0
Model Max Length	4096
Is Biased	none
Tokenizer Class	LlamaTokenizer
Padding Token	<\|placeholder6\|>
PEFT Type	LORA
LoRA Model	Yes
PEFT Target Modules	gate_proj\|down_proj\|v_proj\|o_proj\|q_proj\|k_proj\|up_proj
LoRA Alpha	16
LoRA Dropout	0
R Param	16

Rank the Phi 3 Bangla Instruct 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

Best Alternatives to Phi 3 Bangla Instruct

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Qwen 3 4B Text To SQL	0K / 8.1 GB	14	6

Note: green Score (e.g. "73.2") means that the model is better than ragibhasan/phi-3-bangla-instruct.