What are the hardware requirements for Llm Jp 3 3.7B?

Llm Jp 3 3.7B requires approximately 7.6 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 3.7B and how large is it?

Llm Jp 3 3.7B is developed by llm-jp, a model with 3.7b 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 3.7B?

Llm Jp 3 3.7B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Llm Jp 3 3.7B by llm-jp — VRAM 7.6GB, 4K context

Name: Llm Jp 3 3.7B
Author: llm-jp

Llm Jp 3 3.7B is an open-source language model by llm-jp. Features: 3.7b LLM, VRAM: 7.6GB, Context: 4K, License: apache-2.0, LLM Explorer Score: 0.16.

En Ja Llama Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/llm-jp/llm-jp-3-3.7b

Llm Jp 3 3.7B Benchmarks

LLME Score: 0.15746

^nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

What is the LLM Explorer Rank (Score)

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Llm Jp 3 3.7B Parameters and Internals

LLM Name	Llm Jp 3 3.7B
Repository 🤗	https://huggingface.co/llm-jp/llm-jp-3-3.7b
Model Size	3.7b
Required VRAM	7.6 GB
Updated	2026-05-27
Maintainer	llm-jp
Model Type	llama
Model Files	5.0 GB: 1-of-2 2.6 GB: 2-of-2
Supported Languages	en ja
Model Architecture	LlamaForCausalLM
License	apache-2.0
Context Length	4096
Model Max Length	4096
Transformers Version	4.43.3
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<PAD\|LLM-jp>
Vocabulary Size	99584
Torch Data Type	bfloat16

Best Alternatives to Llm Jp 3 3.7B

Best Alternatives	Context / RAM	Downloads	Likes
SJT 3.7B	4K / 8.2 GB	9	0
....0 Computer Crime Act Instruct	4K / 13.7 GB	9	0
Llm Jp 3 3.7B Instruct	4K / 7.6 GB	605	13
...3 3.7B Instruct EZO Humanities	4K / 7.6 GB	4	6
Llm Jp 3 3.7B Instruct	4K / 7.6 GB	14	0
Cpt St Vicuna V1.3 3.7B Ppl	2K / 7.4 GB	5	4
...sianMind V1.0 Bnb 4bit Smashed	2K / 4.3 GB	6	0

Note: green Score (e.g. "73.2") means that the model is better than llm-jp/llm-jp-3-3.7b.

Rank the Llm Jp 3 3.7B Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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Release v20260328a

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Llm Jp 3 3.7B by llm-jp

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Llm Jp 3 3.7B Benchmarks

Llm Jp 3 3.7B Parameters and Internals

Best Alternatives to Llm Jp 3 3.7B

Rank the Llm Jp 3 3.7B Capabilities

What open-source LLMs or SLMs are you in search of? 53999 in total.