What are the hardware requirements for Looped Llama 8B 128K?

Looped Llama 8B 128K requires approximately 16.1 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 Looped Llama 8B 128K and how large is it?

Looped Llama 8B 128K is developed by Carchofa, a model with 8b 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 Looped Llama 8B 128K?

Looped Llama 8B 128K is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Looped Llama 8B 128K by Carchofa — VRAM 16.1GB, 128K context

Name: Looped Llama 8B 128K
Author: Carchofa

Looped Llama 8B 128K is an open-source language model by Carchofa. Features: 8b LLM, VRAM: 16.1GB, Context: 128K, LLM Explorer Score: 0.32.

Arxiv:1910.09700 Endpoints compatible Llama Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/Carchofa/looped_llama_8b_128k

Looped Llama 8B 128K Parameters and Internals

LLM Name	Looped Llama 8b 128k
Repository 🤗	https://huggingface.co/Carchofa/looped_llama_8b_128k
Model Size	8b
Required VRAM	16.1 GB
Updated	2026-09-06
Maintainer	Carchofa
Model Type	llama
Model Files	16.1 GB
Model Architecture	LlamaForCausalLM
Context Length	131072
Model Max Length	131072
Transformers Version	5.3.0
Vocabulary Size	128256

Rank the Looped Llama 8B 128K 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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