What are the hardware requirements for Japanese Stablelm Base Beta 7B?

Japanese Stablelm Base Beta 7B requires approximately 13.5 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 Japanese Stablelm Base Beta 7B and how large is it?

Japanese Stablelm Base Beta 7B is developed by stabilityai, a model with 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 Japanese Stablelm Base Beta 7B?

Japanese Stablelm Base Beta 7B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Japanese Stablelm Base Beta 7B by stabilityai — VRAM 13.5GB, 4K context

Name: Japanese Stablelm Base Beta 7B
Author: stabilityai

Japanese Stablelm Base Beta 7B is an open-source language model by stabilityai. Features: 7b LLM, VRAM: 13.5GB, Context: 4K, License: llama2, LLM Explorer Score: 0.09.

Dataset:cc100 Dataset:cerebras/slimpajama-62... Dataset:mc4 Dataset:oscar-corpus/oscar-220... Dataset:oscar-corpus/oscar-230... Dataset:wikipedia Deploy:azure Endpoints compatible Ja Japanese-stablelm Llama Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/stabilityai/japanese-stablelm-base-beta-7b

Japanese Stablelm Base Beta 7B Parameters and Internals

Model Type

causal-lm, text-generation

Use Cases

Limitations:

The pre-training dataset may have contained offensive or inappropriate content even after applying data cleansing filters which can be reflected in the model generated text., Do not use the model for any applications that may cause harm or distress to individuals or groups.

Considerations:

Exercise reasonable caution when using these models in production systems.

Additional Notes

For questions and comments about the model, join Stable Community Japan on Discord.

Supported Languages

Japanese (native)

Training Details

Data Sources:

Japanese/English Wikipedia, Japanese mc4, Japanese CC-100, Japanese OSCAR, SlimPajama (excluding the Books3 subset)

Data Volume:

100 billion tokens

Methodology:

fine-tuned on Japanese data

Model Architecture:

auto-regressive language model based on Llama2 transformer architecture

LLM Name	Japanese Stablelm Base Beta 7B
Repository 🤗	https://huggingface.co/stabilityai/japanese-stablelm-base-beta-7b
Model Size	7b
Required VRAM	13.5 GB
Updated	2026-08-06
Maintainer	stabilityai
Model Type	llama
Model Files	10.0 GB: 1-of-2 3.5 GB: 2-of-2
Supported Languages	ja
Model Architecture	LlamaForCausalLM
License	llama2
Context Length	4096
Model Max Length	4096
Transformers Version	4.31.0
Tokenizer Class	LlamaTokenizer
Beginning of Sentence Token	<s>
End of Sentence Token	</s>
Unk Token	<unk>
Vocabulary Size	32000
Torch Data Type	float16

Rank the Japanese Stablelm Base Beta 7B 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

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Note: green Score (e.g. "73.2") means that the model is better than stabilityai/japanese-stablelm-base-beta-7b.