What are the hardware requirements for Llama 3 Tiny Random Gptq W4?

Llama 3 Tiny Random Gptq W4 requires a context window of 8K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Llama 3 Tiny Random Gptq W4 and how large is it?

Llama 3 Tiny Random Gptq W4 is developed by yujiepan, a model with 1m 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 Tiny Random Gptq W4?

Llama 3 Tiny Random Gptq W4 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Llama 3 Tiny Random Gptq W4 by yujiepan — 8K context

Name: Llama 3 Tiny Random Gptq W4
Author: yujiepan

Llama 3 Tiny Random Gptq W4 is an open-source language model by yujiepan. Features: 1m LLM, Context: 8K, Quantized, LLM Explorer Score: 0.12.

4-bit Conversational Endpoints compatible Gptq Llama Quantized Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/yujiepan/llama-3-tiny-random-gptq-w4

Llama 3 Tiny Random Gptq W4 Parameters and Internals

Model Type

causal language model

Additional Notes

4-bit weight only quantization by AutoGPTQ

Input Output

Accepted Modalities:

text

Output Format:

text

LLM Name	Llama 3 Tiny Random Gptq W4
Repository 🤗	https://huggingface.co/yujiepan/llama-3-tiny-random-gptq-w4
Model Size	1m
Required VRAM	0 GB
Updated	2026-08-03
Maintainer	yujiepan
Model Type	llama
Model Files	0.0 GB
GPTQ Quantization	Yes
Quantization Type	gptq
Model Architecture	LlamaForCausalLM
Context Length	8192
Model Max Length	8192
Transformers Version	4.38.2
Tokenizer Class	PreTrainedTokenizerFast
Vocabulary Size	128256
Torch Data Type	float16

Rank the Llama 3 Tiny Random Gptq W4 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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