What are the hardware requirements for Llm Jp 3.1 1.8B Instruct4 4bit?

Llm Jp 3.1 1.8B Instruct4 4bit requires approximately 1.1 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 1.8B Instruct4 4bit and how large is it?

Llm Jp 3.1 1.8B Instruct4 4bit is developed by mlx-community, 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 1.8B Instruct4 4bit?

Llm Jp 3.1 1.8B Instruct4 4bit 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 1.8B Instruct4 4bit by mlx-community — VRAM 1.1GB, 4K context

Name: Llm Jp 3.1 1.8B Instruct4 4bit
Author: mlx-community

Llm Jp 3.1 1.8B Instruct4 4bit is an open-source language model by mlx-community. Features: 1.8b LLM, VRAM: 1.1GB, Context: 4K, License: apache-2.0, Quantized, LLM Explorer Score: 0.18.

4-bit 4bit Base model:llm-jp/llm-jp-3.1-1... Base model:quantized:llm-jp/ll... Conversational En Ja Llama Mlx Quantized Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/mlx-community/llm-jp-3.1-1.8b-instruct4-4bit

Llm Jp 3.1 1.8B Instruct4 4bit Parameters and Internals

LLM Name	Llm Jp 3.1 1.8B Instruct4 4bit
Repository 🤗	https://huggingface.co/mlx-community/llm-jp-3.1-1.8b-instruct4-4bit
Base Model(s)	llm-jp/llm-jp-3.1-1.8b-instruct4 llm-jp/llm-jp-3.1-1.8b-instruct4
Model Size	1.8b
Required VRAM	1.1 GB
Updated	2026-07-13
Maintainer	mlx-community
Model Type	llama
Model Files	1.1 GB
Supported Languages	en ja
Quantization Type	4bit
Model Architecture	LlamaForCausalLM
License	apache-2.0
Context Length	4096
Model Max Length	4096
Transformers Version	4.47.0
Tokenizer Class	PreTrainedTokenizer
Padding Token	<PAD\|LLM-jp>
Vocabulary Size	99584
Torch Data Type	bfloat16

Rank the Llm Jp 3.1 1.8B Instruct4 4bit capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

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

Quantized Models of the Llm Jp 3.1 1.8B Instruct4 4bit

Model	Likes	Downloads	VRAM
...m Jp 3.1 1.8B Function Calling	0	12	3 GB

Best Alternatives to Llm Jp 3.1 1.8B Instruct4 4bit

Best Alternatives	Context / RAM	Downloads	Likes
...m Jp 3.1 1.8B Function Calling	4K / 3.7 GB	12	0
Ssh 1.8B	8K / 3.7 GB	87	0
EasyContext 256K Danube2 1.8B	8K / 3.7 GB	8	5
Llm Jp 3.1 1.8B Instruct4	4K / 3.7 GB	3609	21
Llm Jp 3 1.8B	4K / 3.7 GB	8968	17
Llm Jp 3 1.8B Instruct	4K / 3.7 GB	5764	25
Llm Jp 3 1.8B Instruct3	4K / 3.7 GB	634	2
Qwen1.5 1.8B Llamafy	4K / 3.7 GB	7	1
Llm Jp 3 1.8B Instruct	4K / 3.7 GB	7	0
Tinyllama 1.8B Trismegistus	2K / 1.9 GB	17	3

Note: green Score (e.g. "73.2") means that the model is better than mlx-community/llm-jp-3.1-1.8b-instruct4-4bit.