What are the hardware requirements for Llm Jp 3 1.8B Instruct?

Llm Jp 3 1.8B Instruct requires approximately 3.7 GB of VRAM and supports a context window of 4K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Llm Jp 3 1.8B Instruct and how large is it?

Llm Jp 3 1.8B Instruct is developed by llm-jp, a model with 1.8b 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 3 1.8B Instruct?

Llm Jp 3 1.8B Instruct is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Llm Jp 3 1.8B Instruct by llm-jp — VRAM 3.7GB, 4K context

Name: Llm Jp 3 1.8B Instruct
Author: llm-jp

Llm Jp 3 1.8B Instruct is an open-source language model by llm-jp. Features: 1.8b LLM, VRAM: 3.7GB, Context: 4K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.17.

Conversational Deploy:azure En Instruct Ja Llama Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/llm-jp/llm-jp-3-1.8b-instruct

Llm Jp 3 1.8B Instruct Parameters and Internals

Model Type

text-generation

Additional Notes

The models released here are in the early stages of R&D and have not been tuned for human intent and safety considerations.

Supported Languages

en (English), ja (Japanese)

Training Details

Data Sources:

Wikipedia, Common Crawl, WARP/PDF, WARP/HTML, Kaken, Dolma/CC-head, The Stack, Dolma/C4, Dolma/Reddit, Dolma/PeS2o, Dolma/Gutenberg, Dolma/Wiki

Data Volume:

2.1T tokens

Context Length:

4096

Model Architecture:

Transformer-based

Input Output

Accepted Modalities:

text

Output Format:

text

LLM Name	Llm Jp 3 1.8B Instruct
Repository 🤗	https://huggingface.co/llm-jp/llm-jp-3-1.8b-instruct
Model Size	1.8b
Required VRAM	3.7 GB
Updated	2026-07-24
Maintainer	llm-jp
Model Type	llama
Instruction-Based	Yes
Model Files	3.7 GB
Supported Languages	en ja
Model Architecture	LlamaForCausalLM
License	apache-2.0
Context Length	4096
Model Max Length	4096
Transformers Version	4.40.2
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<PAD\|LLM-jp>
Vocabulary Size	99584
Torch Data Type	bfloat16

Rank the Llm Jp 3 1.8B Instruct 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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