What are the hardware requirements for Llm Jp 3 150M Instruct2?

Llm Jp 3 150M Instruct2 requires approximately 0.3 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 150M Instruct2 and how large is it?

Llm Jp 3 150M Instruct2 is developed by llm-jp, a model with 150m 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 150M Instruct2?

Llm Jp 3 150M Instruct2 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Llm Jp 3 150M Instruct2 by llm-jp — VRAM 0.3GB, 4K context

Name: Llm Jp 3 150M Instruct2
Author: llm-jp

Llm Jp 3 150M Instruct2 is an open-source language model by llm-jp. Features: 150m LLM, VRAM: 0.3GB, Context: 4K, License: apache-2.0, LLM Explorer Score: 0.16.

Conversational En Ja Llama Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/llm-jp/llm-jp-3-150m-instruct2

Llm Jp 3 150M Instruct2 Parameters and Internals

LLM Name	Llm Jp 3 150M Instruct2
Repository 🤗	https://huggingface.co/llm-jp/llm-jp-3-150m-instruct2
Model Size	150m
Required VRAM	0.3 GB
Updated	2026-06-06
Maintainer	llm-jp
Model Type	llama
Model Files	0.3 GB
Supported Languages	en ja
Model Architecture	LlamaForCausalLM
License	apache-2.0
Context Length	4096
Model Max Length	4096
Transformers Version	4.47.0
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<PAD\|LLM-jp>
Vocabulary Size	99584
Torch Data Type	bfloat16

Rank the Llm Jp 3 150M Instruct2 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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...ma With Eeve The Third 04 150M	32K / 0.6 GB	3	1
Portimbria 150M	4K / 0.7 GB	62	10
Llm Jp 3 150M Instruct3	4K / 0.3 GB	565	4
Bee 150M Pt Base	2K / 0.6 GB	103	0
Llama 150M Fresh	2K / 0.9 GB	939	1

Note: green Score (e.g. "73.2") means that the model is better than llm-jp/llm-jp-3-150m-instruct2.