What are the hardware requirements for Llm Jp 4 33B Base?

Llm Jp 4 33B Base requires approximately 66.8 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 33B Base and how large is it?

Llm Jp 4 33B Base is developed by llm-jp, a model with 33b 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 33B Base?

Llm Jp 4 33B 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 33B Base by llm-jp — VRAM 66.8GB, 64K context

Name: Llm Jp 4 33B Base
Author: llm-jp

Llm Jp 4 33B Base is an open-source language model by llm-jp. Features: 33b LLM, VRAM: 66.8GB, Context: 64K, License: apache-2.0, LLM Explorer Score: 0.3.

Conversational En Ja Llama Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/llm-jp/llm-jp-4-33b-base

Llm Jp 4 33B Base Parameters and Internals

LLM Name	Llm Jp 4 33B Base
Repository 🤗	https://huggingface.co/llm-jp/llm-jp-4-33b-base
Model Size	33b
Required VRAM	66.8 GB
Updated	2026-08-22
Maintainer	llm-jp
Model Type	llama
Model Files	5.0 GB: 1-of-14 5.0 GB: 2-of-14 4.9 GB: 3-of-14 4.9 GB: 4-of-14 4.9 GB: 5-of-14 4.9 GB: 6-of-14 4.9 GB: 7-of-14 4.9 GB: 8-of-14 4.9 GB: 9-of-14 4.9 GB: 10-of-14 4.9 GB: 11-of-14 4.9 GB: 12-of-14 4.9 GB: 13-of-14 2.9 GB: 14-of-14
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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Factuality and Completeness of Knowledge
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Data Analysis and Insight Generation
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Best Alternatives	Context / RAM	Downloads	Likes
Llm Jp 4 33B Thinking	64K / 66.8 GB	192	24
Llm Jp 4 33B Thinking NVFP4	64K / 21.6 GB	79	1
Llm Jp 4 33B Thinking Nvfp4	64K / 21.5 GB	38	2
...angled Llama 33M 32K Base V0.1	32K / 0.1 GB	22	1
ReflectionCoder DS 33B	16K / 67 GB	8293	4
Deepseek Wizard 33B Slerp	16K / 35.3 GB	7	0
ValidateAI 33B Slerp	16K / 35.4 GB	7	0
ValidateAI 3 33B Ties	16K / 66.5 GB	7	0
ValidateAI 2 33B AT	16K / 66.5 GB	6	0
Chronos Divergence 33B	16K / 65 GB	9	30

Note: green Score (e.g. "73.2") means that the model is better than llm-jp/llm-jp-4-33b-base.