What are the hardware requirements for Llama 3.2 3B Instruct Frog?

Llama 3.2 3B Instruct Frog 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 Frog and how large is it?

Llama 3.2 3B Instruct Frog is developed by phamhai, 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 Frog?

Llama 3.2 3B Instruct Frog 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 Frog by phamhai — VRAM 6.5GB, 128K context

Name: Llama 3.2 3B Instruct Frog
Author: phamhai

Llama 3.2 3B Instruct Frog is an open-source language model by phamhai. Features: 3b LLM, VRAM: 6.5GB, Context: 128K, License: llama3.2, Instruction-Based, LLM Explorer Score: 0.15.

Base model:finetune:meta-llama... Base model:meta-llama/llama-3.... Conversational En Fc Function calling Function calling Functions Generation Instruct Llama Rag Region:us Rewriting Safetensors Sharded Summarization Tensorflow Vi Vietnamese Vllm

Model Card on HF 🤗: https://huggingface.co/phamhai/Llama-3.2-3B-Instruct-Frog

Llama 3.2 3B Instruct Frog Parameters and Internals

LLM Name	Llama 3.2 3B Instruct Frog
Repository 🤗	https://huggingface.co/phamhai/Llama-3.2-3B-Instruct-Frog
Base Model(s)	meta-llama/Llama-3.2-3B-Instruct meta-llama/Llama-3.2-3B-Instruct
Model Size	3b
Required VRAM	6.5 GB
Updated	2026-06-26
Maintainer	phamhai
Model Type	llama
Instruction-Based	Yes
Model Files	5.0 GB: 1-of-2 1.5 GB: 2-of-2
Supported Languages	en vi
Model Architecture	LlamaForCausalLM
License	llama3.2
Context Length	131072
Model Max Length	131072
Transformers Version	4.45.0.dev0
Tokenizer Class	PreTrainedTokenizerFast
Vocabulary Size	128256
Torch Data Type	bfloat16

Rank the Llama 3.2 3B Instruct Frog 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 Frog

Best Alternatives	Context / RAM	Downloads	Likes
Llama 3.2 3B Instruct	128K / 6.5 GB	1829572	2368
Llama 3.2 3B Instruct	128K / 6.5 GB	186207	96
Llama3.2 3B Manumit V1	128K / 6.4 GB	135	0
Llama 3.2 3B Instruct	128K / 6.5 GB	991	9
Alloma 3B Instruct	128K / 6.5 GB	55456	6
... V7 SFT 10voicebot Loopcleaned	128K / 6.5 GB	229	0
Llama 3.2 3B RP Toxic Fuse	128K / 6.4 GB	14	2
DeepSeek R1 Distill Llama 3B	128K / 6.5 GB	247	16
Schematron 3B	128K / 6.5 GB	969	336
ReasoningCore 3B T1 1	128K / 6.5 GB	8	1

Note: green Score (e.g. "73.2") means that the model is better than phamhai/Llama-3.2-3B-Instruct-Frog.