What are the hardware requirements for SSSSLM JP V1.0.6B?

SSSSLM JP V1.0.6B requires approximately 2.7 GB of VRAM and supports a context window of 1K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed SSSSLM JP V1.0.6B and how large is it?

SSSSLM JP V1.0.6B is developed by soichi1208, a model with 0.6b 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 SSSSLM JP V1.0.6B?

SSSSLM JP V1.0.6B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

SSSSLM JP V1.0.6B by soichi1208 — VRAM 2.7GB, 1K context

Name: SSSSLM JP V1.0.6B
Author: soichi1208

SSSSLM JP V1.0.6B is an open-source language model by soichi1208. Features: 0.6b LLM, VRAM: 2.7GB, Context: 1K, License: apache-2.0, LLM Explorer Score: 0.23.

Ja Japanese Llama Pretrained Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/soichi1208/SSSSLM-JP-v1-0.6B

SSSSLM JP V1.0.6B Parameters and Internals

LLM Name	SSSSLM JP V1.0.6B
Repository 🤗	https://huggingface.co/soichi1208/SSSSLM-JP-v1-0.6B
Model Size	0.6b
Required VRAM	2.7 GB
Updated	2026-08-07
Maintainer	soichi1208
Model Type	llama
Model Files	2.7 GB
Supported Languages	ja
Model Architecture	LlamaForCausalLM
License	apache-2.0
Context Length	1024
Model Max Length	1024
Transformers Version	4.57.3
Tokenizer Class	LlamaTokenizer
Padding Token	<pad>
Vocabulary Size	32000

Rank the SSSSLM JP V1.0.6B 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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