What are the hardware requirements for Llama 3.2 3B Instruct Alpaca Indonesian Legal Rag?

Llama 3.2 3B Instruct Alpaca Indonesian Legal Rag requires approximately 6.5 GB of VRAM and supports a context window of 128K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Llama 3.2 3B Instruct Alpaca Indonesian Legal Rag and how large is it?

Llama 3.2 3B Instruct Alpaca Indonesian Legal Rag is developed by ronny86, a model with 3b 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 Llama 3.2 3B Instruct Alpaca Indonesian Legal Rag?

Llama 3.2 3B Instruct Alpaca Indonesian Legal Rag is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Llama 3.2 3B Instruct Alpaca Indonesian Legal Rag by ronny86 — VRAM 6.5GB, 128K context

Name: Llama 3.2 3B Instruct Alpaca Indonesian Legal Rag
Author: ronny86

Llama 3.2 3B Instruct Alpaca Indonesian Legal Rag is an open-source language model by ronny86. Features: 3b LLM, VRAM: 6.5GB, Context: 128K, License: apache-2.0, Quantized, Instruction-Based, LLM Explorer Score: 0.28.

4bit Base model:finetune:unsloth/ll... Base model:unsloth/llama-3.2-3... Conversational En Endpoints compatible Instruct Llama Quantized Region:us Safetensors Sharded Tensorflow Unsloth

Model Card on HF 🤗: https://huggingface.co/ronny86/Llama-3.2-3B-Instruct-alpaca-indonesian-legal-rag

Llama 3.2 3B Instruct Alpaca Indonesian Legal Rag Parameters and Internals

LLM Name	Llama 3.2 3B Instruct Alpaca Indonesian Legal Rag
Repository 🤗	https://huggingface.co/ronny86/Llama-3.2-3B-Instruct-alpaca-indonesian-legal-rag
Base Model(s)	unsloth/Llama-3.2-3B-Instruct-unsloth-bnb-4bit unsloth/Llama-3.2-3B-Instruct-unsloth-bnb-4bit
Model Size	3b
Required VRAM	6.5 GB
Updated	2026-10-25
Maintainer	ronny86
Model Type	llama
Instruction-Based	Yes
Model Files	5.0 GB: 1-of-2 1.5 GB: 2-of-2
Supported Languages	en
Quantization Type	4bit
Model Architecture	LlamaForCausalLM
License	apache-2.0
Context Length	131072
Model Max Length	131072
Transformers Version	5.17.0
Tokenizer Class	TokenizersBackend
Padding Token	<\|finetune_right_pad_id\|>
Vocabulary Size	128256
Torch Data Type	bfloat16

Rank the Llama 3.2 3B Instruct Alpaca Indonesian Legal Rag 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

Best Alternatives to Llama 3.2 3B Instruct Alpaca Indonesian Legal Rag

Best Alternatives	Context / RAM	Downloads	Likes
...lama 3.2 3B Asr Refiner Merged	128K / 6.5 GB	1517	1
Legal Chatbot Sft Llama3.2 3B	128K / 6.5 GB	632	0
Llama3 Finetuned Id 16bit	128K / 6.5 GB	652	0
Fine Tuning LLM	128K / 6.5 GB	380	0
Llama 3.2 3B Legal SFT	128K / 6.5 GB	294	0
...Llama 3.2 3B Legal Chatbot Sft	128K / 6.5 GB	817	0
Fine Tuning LLM	128K / 6.5 GB	534	0
Slm Rag Sft Merged	128K / 6.5 GB	297	0
...lama 3.2 3B Legal Assistant Id	128K / 6.5 GB	283	0
Llama3.2 3B Legal Id Ft	128K / 6.5 GB	264	0

Note: green Score (e.g. "73.2") means that the model is better than ronny86/Llama-3.2-3B-Instruct-alpaca-indonesian-legal-rag.