What are the hardware requirements for Llama 3.3 Tiny Random Dim64?

Llama 3.3 Tiny Random Dim64 requires a context window of 128K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Llama 3.3 Tiny Random Dim64 and how large is it?

Llama 3.3 Tiny Random Dim64 is developed by yujiepan, a model with 8.3m 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 3.3 Tiny Random Dim64?

Llama 3.3 Tiny Random Dim64 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Llama 3.3 Tiny Random Dim64 by yujiepan — 128K context

Name: Llama 3.3 Tiny Random Dim64
Author: yujiepan

Llama 3.3 Tiny Random Dim64 is an open-source language model by yujiepan. Features: 8.3m LLM, Context: 128K, LLM Explorer Score: 0.18.

Conversational Endpoints compatible Llama Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/yujiepan/llama-3.3-tiny-random-dim64

Llama 3.3 Tiny Random Dim64 Parameters and Internals

LLM Name	Llama 3.3 Tiny Random Dim64
Repository 🤗	https://huggingface.co/yujiepan/llama-3.3-tiny-random-dim64
Model Size	8.3m
Required VRAM	0 GB
Updated	2026-07-26
Maintainer	yujiepan
Model Type	llama
Model Files	0.0 GB
Model Architecture	LlamaForCausalLM
Context Length	131072
Model Max Length	131072
Transformers Version	4.51.3
Tokenizer Class	PreTrainedTokenizer
Padding Token	<\|finetune_right_pad_id\|>
Vocabulary Size	128256
Torch Data Type	bfloat16

Rank the Llama 3.3 Tiny Random Dim64 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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