What are the hardware requirements for Llm Jp 4 8B Base?

Llm Jp 4 8B Base requires approximately 17.2 GB of VRAM and supports a context window of 64K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Llm Jp 4 8B Base and how large is it?

Llm Jp 4 8B Base is developed by llm-jp, 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 Llm Jp 4 8B Base?

Llm Jp 4 8B Base is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Llm Jp 4 8B Base by llm-jp — VRAM 17.2GB, 64K context

Name: Llm Jp 4 8B Base
Author: llm-jp

Llm Jp 4 8B Base is an open-source language model by llm-jp. Features: 8b LLM, VRAM: 17.2GB, Context: 64K, License: apache-2.0, LLM Explorer Score: 0.28.

Conversational En Ja Llama Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/llm-jp/llm-jp-4-8b-base

Llm Jp 4 8B Base Parameters and Internals

LLM Name	Llm Jp 4 8B Base
Repository 🤗	https://huggingface.co/llm-jp/llm-jp-4-8b-base
Model Size	8b
Required VRAM	17.2 GB
Updated	2026-08-04
Maintainer	llm-jp
Model Type	llama
Model Files	5.0 GB: 1-of-4 5.0 GB: 2-of-4 4.9 GB: 3-of-4 2.3 GB: 4-of-4
Supported Languages	en ja
Model Architecture	LlamaForCausalLM
License	apache-2.0
Context Length	65536
Model Max Length	65536
Transformers Version	4.46.0
Tokenizer Class	PreTrainedTokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	196608
Torch Data Type	bfloat16

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Instruction Following and Task Automation
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Data Analysis and Insight Generation
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