What are the hardware requirements for Llama 3.2 1B CyberFrog?

Llama 3.2 1B CyberFrog requires approximately 2.5 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 1B CyberFrog and how large is it?

Llama 3.2 1B CyberFrog is developed by phamhai, a model with 1b 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 1B CyberFrog?

Llama 3.2 1B CyberFrog is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Llama 3.2 1B CyberFrog by phamhai — VRAM 2.5GB, 128K context

Name: Llama 3.2 1B CyberFrog
Author: phamhai

Llama 3.2 1B CyberFrog is an open-source language model by phamhai. Features: 1b LLM, VRAM: 2.5GB, Context: 128K, License: llama3.2, Instruction-Based, LLM Explorer Score: 0.16.

Base model:finetune:meta-llama... Base model:meta-llama/llama-3.... Conversational Instruct Llama Pytorch Region:us Safetensors Vi

Model Card on HF 🤗: https://huggingface.co/phamhai/Llama-3.2-1B-CyberFrog

Llama 3.2 1B CyberFrog Benchmarks

LLME Score: 0.1602

^nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

What is the LLM Explorer Rank (Score)

Llama 3.2 1B CyberFrog (phamhai/Llama-3.2-1B-CyberFrog)

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Llama 3.2 1B CyberFrog Parameters and Internals

LLM Name	Llama 3.2 1B CyberFrog
Repository 🤗	https://huggingface.co/phamhai/Llama-3.2-1B-CyberFrog
Base Model(s)	meta-llama/Llama-3.2-1B-Instruct meta-llama/Llama-3.2-1B-Instruct
Model Size	1b
Required VRAM	2.5 GB
Updated	2026-05-24
Maintainer	phamhai
Model Type	llama
Instruction-Based	Yes
Model Files	2.5 GB 2.5 GB
Supported Languages	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

Best Alternatives to Llama 3.2 1B CyberFrog

Best Alternatives	Context / RAM	Downloads	Likes
Llama 3.2 1B Instruct	128K / 2.5 GB	6336819	1393
...2 1B Instruct Only Mask W Item	128K / 3 GB	2530	0
Llama 3.2 1B Instruct Bf16	128K / 2.5 GB	1158	5
...Instruct Only Mask W Item Mesh	128K / 3 GB	385	0
Llama 3.2 1B Instruct	128K / 2.5 GB	7	0
Shield Llama 3.2 1B Full FT CE	128K / 2.5 GB	795	0
Llama3.2 1B FantasySciFi	128K / 2.5 GB	304	0
Llama 3.2 1B Instruct	128K / 2.5 GB	157691	92
Llama 3.2 OctoThinker INano 1B	128K / 3 GB	242	1
Llama Nexora Vector V0.1	128K / 2.5 GB	36	1

Note: green Score (e.g. "73.2") means that the model is better than phamhai/Llama-3.2-1B-CyberFrog.

Rank the Llama 3.2 1B CyberFrog Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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Llama 3.2 1B CyberFrog by phamhai

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Llama 3.2 1B CyberFrog Benchmarks

Llama 3.2 1B CyberFrog Parameters and Internals

Best Alternatives to Llama 3.2 1B CyberFrog

Rank the Llama 3.2 1B CyberFrog Capabilities

What open-source LLMs or SLMs are you in search of? 53972 in total.