What are the hardware requirements for Llama Krikri 8B Instruct?

Llama Krikri 8B Instruct requires approximately 16.4 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 Krikri 8B Instruct and how large is it?

Llama Krikri 8B Instruct is developed by ilsp, 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 Llama Krikri 8B Instruct?

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

Llama Krikri 8B Instruct by ilsp — VRAM 16.4GB, 128K context

Name: Llama Krikri 8B Instruct
Author: ilsp

Llama Krikri 8B Instruct is an open-source language model by ilsp. Features: 8b LLM, VRAM: 16.4GB, Context: 128K, License: llama3.1, Instruction-Based, LLM Explorer Score: 0.27.

Arxiv:2502.01534 Arxiv:2505.13772 Base model:finetune:ilsp/llama... Base model:ilsp/llama-krikri-8... Conversational El En Endpoints compatible Instruct Llama Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/ilsp/Llama-Krikri-8B-Instruct

Llama Krikri 8B Instruct Parameters and Internals

LLM Name	Llama Krikri 8B Instruct
Repository 🤗	https://huggingface.co/ilsp/Llama-Krikri-8B-Instruct
Base Model(s)	Llama Krikri 8B Base ilsp/Llama-Krikri-8B-Base
Model Size	8b
Required VRAM	16.4 GB
Updated	2026-07-16
Maintainer	ilsp
Model Type	llama
Instruction-Based	Yes
Model Files	4.9 GB: 1-of-4 4.9 GB: 2-of-4 5.0 GB: 3-of-4 1.6 GB: 4-of-4
Supported Languages	el en
Model Architecture	LlamaForCausalLM
License	llama3.1
Context Length	131072
Model Max Length	131072
Transformers Version	4.45.2
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|reserved_special_token_247\|>
Vocabulary Size	149248
Torch Data Type	bfloat16

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Instruction Following and Task Automation
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