What are the hardware requirements for SmolLM2 360M Japanese Base Phase 1 11000?

SmolLM2 360M Japanese Base Phase 1 11000 requires a context window of 8K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed SmolLM2 360M Japanese Base Phase 1 11000 and how large is it?

SmolLM2 360M Japanese Base Phase 1 11000 is developed by halcyon-llm, a model with 360m 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 SmolLM2 360M Japanese Base Phase 1 11000?

SmolLM2 360M Japanese Base Phase 1 11000 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

SmolLM2 360M Japanese Base Phase 1 11000 by halcyon-llm — 8K context

Name: SmolLM2 360M Japanese Base Phase 1 11000
Author: halcyon-llm

SmolLM2 360M Japanese Base Phase 1 11000 is an open-source language model by halcyon-llm. Features: 360m LLM, Context: 8K, License: apache-2.0, LLM Explorer Score: 0.16.

Base model:finetune:huggingfac... Base model:huggingfacetb/smoll... Dataset:kajuma/training 01-09 ... Endpoints compatible Generated from trainer Llama Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/halcyon-llm/SmolLM2-360M-japanese_base_phase_1-11000

SmolLM2 360M Japanese Base Phase 1 11000 Parameters and Internals

LLM Name	SmolLM2 360M Japanese Base Phase 1 11000
Repository 🤗	https://huggingface.co/halcyon-llm/SmolLM2-360M-japanese_base_phase_1-11000
Base Model(s)	SmolLM2 360M HuggingFaceTB/SmolLM2-360M
Model Size	360m
Required VRAM	0 GB
Updated	2026-07-30
Maintainer	halcyon-llm
Model Type	llama
Model Files	0.7 GB 0.7 GB 0.0 GB 0.0 GB
Model Architecture	LlamaForCausalLM
License	apache-2.0
Context Length	8192
Model Max Length	8192
Transformers Version	4.48.0.dev0
Tokenizer Class	GPT2Tokenizer
Padding Token	[PAD]
Vocabulary Size	49153
Torch Data Type	bfloat16

Rank the SmolLM2 360M Japanese Base Phase 1 11000 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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Note: green Score (e.g. "73.2") means that the model is better than halcyon-llm/SmolLM2-360M-japanese_base_phase_1-11000.