LLM-jp / NII LLMC

Models & tools

• LLM-jp-4.1 32B-A3B Thinking

  LLM-jp / NII LLMC · LLM-jp-4.1

  LLM-jp-4.1 32B-A3B Thinking is a Japanese-English reasoning release with new SFT and preference training.

  Launch date 28 September 2026Research releaseDownloadable
• LLM-jp-4.1 33B Thinking

  LLM-jp / NII LLMC · LLM-jp-4.1

  LLM-jp-4.1 33B Thinking is a Japanese-English reasoning release with new SFT and preference training.

  Launch date 28 September 2026Research releaseDownloadable
• LLM-jp-4.1 8B Thinking

  LLM-jp / NII LLMC · LLM-jp-4.1

  LLM-jp-4.1 8B Thinking is a Japanese-English reasoning release with new SFT and preference training.

  Launch date 28 September 2026Research releaseDownloadable
• Drop-Upcycling Research Models

  LLM-jp / NII LLMC · Drop-Upcycling

  Published dense and expert-model experiments for studying partial weight reinitialization during upcycling.

  Launch date not confirmedResearch releaseDownloadable
• Jagle VL 2.2B FineVision

  LLM-jp / NII LLMC · Jagle VL

  The 2.2B Jagle vision-language experiment trained with FineVision data.

  Launch date not confirmedResearch releaseDownloadable
• Jagle VL 2.2B Jagle

  LLM-jp / NII LLMC · Jagle VL

  The 2.2B Jagle vision-language experiment trained with Jagle data.

  Launch date not confirmedResearch releaseDownloadable
• Jagle VL 2.2B Jagle + FineVision

  LLM-jp / NII LLMC · Jagle VL

  The 2.2B Jagle vision-language experiment trained with Jagle + FineVision data.

  Launch date not confirmedResearch releaseDownloadable
• KABURI-TTS

  LLM-jp / NII LLMC · KABURI-TTS

  Japanese two-speaker dialogue synthesis with separate audio channels, overlaps and backchannels.

  Launch date not confirmedResearch releaseDownloadable
• LayoutLMv3 Japanese Preview

  LLM-jp / NII LLMC · LLM-jp Document AI

  A Japanese document encoder pretrained with page images, text and word positions.

  Launch date not confirmedPreviewDownloadable
• Llama-Mimi 1.3B

  LLM-jp / NII LLMC · Llama-Mimi

  An English speech-continuation model derived from Meta Llama 3.2 1B and Mimi audio tokenization.

  Launch date not confirmedResearch releaseDownloadable
• Llama-Mimi 8B

  LLM-jp / NII LLMC · Llama-Mimi

  An English speech-continuation model derived from Meta Llama 3.1 8B and Mimi audio tokenization.

  Launch date not confirmedResearch releaseDownloadable
• LLM-jp 1.3B v1.0 Base

  LLM-jp / NII LLMC · LLM-jp v1

  The original 1.3B LLM-jp text model, trained on 300 billion tokens with a 2,048-token context.

  Launch date not confirmedResearch releaseDownloadable
• LLM-jp 13B v1.0 Base

  LLM-jp / NII LLMC · LLM-jp v1

  The original 13B LLM-jp text model, trained on 300 billion tokens with a 2,048-token context.

  Launch date not confirmedResearch releaseDownloadable
• LLM-jp 13B v1.0 Dolly–OpenAssistant Full

  LLM-jp / NII LLMC · LLM-jp v1

  LLM-jp 13B v1.0 Dolly–OpenAssistant Full is a distinct instruction-tuning experiment from the first LLM-jp release.

  Launch date not confirmedResearch releaseDownloadable
• LLM-jp 13B v1.0 Dolly–OpenAssistant LoRA

  LLM-jp / NII LLMC · LLM-jp v1

  LLM-jp 13B v1.0 Dolly–OpenAssistant LoRA is a distinct instruction-tuning experiment from the first LLM-jp release.

  Launch date not confirmedResearch releaseDownloadable
• LLM-jp 13B v1.0 Jaster Full

  LLM-jp / NII LLMC · LLM-jp v1

  LLM-jp 13B v1.0 Jaster Full is a distinct instruction-tuning experiment from the first LLM-jp release.

  Launch date not confirmedResearch releaseDownloadable
• LLM-jp 13B v1.0 Jaster LoRA

  LLM-jp / NII LLMC · LLM-jp v1

  LLM-jp 13B v1.0 Jaster LoRA is a distinct instruction-tuning experiment from the first LLM-jp release.

  Launch date not confirmedResearch releaseDownloadable
• LLM-jp 13B v1.0 Jaster–Dolly–OpenAssistant Full

  LLM-jp / NII LLMC · LLM-jp v1

  LLM-jp 13B v1.0 Jaster–Dolly–OpenAssistant Full is a distinct instruction-tuning experiment from the first LLM-jp release.

  Launch date not confirmedResearch releaseDownloadable
• LLM-jp 13B v1.0 Jaster–Dolly–OpenAssistant LoRA

  LLM-jp / NII LLMC · LLM-jp v1

  LLM-jp 13B v1.0 Jaster–Dolly–OpenAssistant LoRA is a distinct instruction-tuning experiment from the first LLM-jp release.

  Launch date not confirmedResearch releaseDownloadable
• LLM-jp 13B v1.1 DPO

  LLM-jp / NII LLMC · LLM-jp v1

  A preference-tuned descendant of the full v1.1 instruction model using Japanese HH-RLHF data.

  Launch date not confirmedResearch releaseDownloadable
• LLM-jp 13B v1.1 Instruct Full

  LLM-jp / NII LLMC · LLM-jp v1

  The v1.1 Full instruction release combines Japanese human-written data with English and translated dialogue data.

  Launch date not confirmedResearch releaseDownloadable
• LLM-jp 13B v1.1 Instruct LoRA

  LLM-jp / NII LLMC · LLM-jp v1

  The v1.1 LoRA instruction release combines Japanese human-written data with English and translated dialogue data.

  Launch date not confirmedResearch releaseDownloadable
• LLM-jp 13B v2.0 Base

  LLM-jp / NII LLMC · LLM-jp v2

  The 13B v2.0 base changes the pretraining corpus and vocabulary and extends context to 4,096 tokens.

  Launch date not confirmedResearch releaseDownloadable
• LLM-jp 13B v2.0 Instruct

  LLM-jp / NII LLMC · LLM-jp v2

  LLM-jp 13B v2.0 Instruct is one of three published safety-data tuning comparisons.

  Launch date not confirmedResearch releaseDownloadable
• LLM-jp 13B v2.0 Instruct AC

  LLM-jp / NII LLMC · LLM-jp v2

  LLM-jp 13B v2.0 Instruct AC is one of three published safety-data tuning comparisons.

  Launch date not confirmedResearch releaseDownloadable
• LLM-jp 13B v2.0 Instruct AC 16×

  LLM-jp / NII LLMC · LLM-jp v2

  LLM-jp 13B v2.0 Instruct AC 16× is one of three published safety-data tuning comparisons.

  Launch date not confirmedResearch releaseDownloadable
• LLM-jp CLIP ViT Base/16

  LLM-jp / NII LLMC · LLM-jp CLIP

  A 248 million-parameter Japanese image-text encoder for retrieval and zero-shot image classification.

  Launch date not confirmedResearch releaseDownloadable
• LLM-jp CLIP ViT Large/14

  LLM-jp / NII LLMC · LLM-jp CLIP

  A 467 million-parameter Japanese image-text encoder for retrieval and zero-shot image classification.

  Launch date not confirmedResearch releaseDownloadable
• LLM-jp ModernBERT Base

  LLM-jp / NII LLMC · LLM-jp ModernBERT

  A Japanese pretrained text encoder with an 8,192-token sequence limit and ModernBERT architecture.

  Launch date not confirmedResearch releaseDownloadable
• LLM-jp Moshi v1

  LLM-jp / NII LLMC · LLM-jp Moshi

  A Japanese full-duplex speech-dialogue derivative of Kyutai's Moshi model.

  Launch date not confirmedResearch releaseDownloadable
• LLM-jp-3 1.8B Base

  LLM-jp / NII LLMC · LLM-jp-3

  LLM-jp-3 1.8B Base is a pretrained text model with 4,096-token context and Apache 2.0 weights.

  Launch date not confirmedResearch releaseDownloadable
• LLM-jp-3 1.8B Instruct

  LLM-jp / NII LLMC · LLM-jp-3

  The original 1.8B LLM-jp-3 instruction model with a 4,096-token context and Apache 2.0 weights.

  Launch date not confirmedResearch releaseDownloadable
• LLM-jp-3 1.8B Instruct2

  LLM-jp / NII LLMC · LLM-jp-3

  LLM-jp-3 1.8B Instruct2 is a supervised instruction release with 4,096-token context and Apache 2.0 weights.

  Launch date not confirmedResearch releaseDownloadable
• LLM-jp-3 1.8B Instruct3

  LLM-jp / NII LLMC · LLM-jp-3

  LLM-jp-3 1.8B Instruct3 is a preference-aligned instruction release with 4,096-token context and Apache 2.0 weights.

  Launch date not confirmedResearch releaseDownloadable
• LLM-jp-3 13B Base

  LLM-jp / NII LLMC · LLM-jp-3

  LLM-jp-3 13B Base is a pretrained text model with 4,096-token context and Apache 2.0 weights.

  Launch date not confirmedResearch releaseDownloadable
• LLM-jp-3 13B Instruct

  LLM-jp / NII LLMC · LLM-jp-3

  The original 13B LLM-jp-3 instruction model with a 4,096-token context and Apache 2.0 weights.

  Launch date not confirmedResearch releaseDownloadable
• LLM-jp-3 13B Instruct2

  LLM-jp / NII LLMC · LLM-jp-3

  LLM-jp-3 13B Instruct2 is a supervised instruction release with 4,096-token context and Apache 2.0 weights.

  Launch date not confirmedResearch releaseDownloadable
• LLM-jp-3 13B Instruct3

  LLM-jp / NII LLMC · LLM-jp-3

  LLM-jp-3 13B Instruct3 is a preference-aligned instruction release with 4,096-token context and Apache 2.0 weights.

  Launch date not confirmedResearch releaseDownloadable
• LLM-jp-3 150M Base

  LLM-jp / NII LLMC · LLM-jp-3

  LLM-jp-3 150M Base is a pretrained text model with 4,096-token context and Apache 2.0 weights.

  Launch date not confirmedResearch releaseDownloadable
• LLM-jp-3 150M Instruct2

  LLM-jp / NII LLMC · LLM-jp-3

  LLM-jp-3 150M Instruct2 is a supervised instruction release with 4,096-token context and Apache 2.0 weights.

  Launch date not confirmedResearch releaseDownloadable
• LLM-jp-3 150M Instruct3

  LLM-jp / NII LLMC · LLM-jp-3

  LLM-jp-3 150M Instruct3 is a preference-aligned instruction release with 4,096-token context and Apache 2.0 weights.

  Launch date not confirmedResearch releaseDownloadable
• LLM-jp-3 172B alpha1

  LLM-jp / NII LLMC · LLM-jp-3 172B

  LLM-jp-3 172B alpha1 preserves an early research release with a documented training problem.

  Launch date not confirmedResearch releaseDownloadable
• LLM-jp-3 172B alpha1 Instruct

  LLM-jp / NII LLMC · LLM-jp-3 172B

  LLM-jp-3 172B alpha1 Instruct preserves an early research release with a documented training problem.

  Launch date not confirmedResearch releaseDownloadable
• LLM-jp-3 172B alpha2

  LLM-jp / NII LLMC · LLM-jp-3 172B

  LLM-jp-3 172B alpha2 preserves an early research release with a documented training problem.

  Launch date not confirmedResearch releaseDownloadable
• LLM-jp-3 172B alpha2 Instruct

  LLM-jp / NII LLMC · LLM-jp-3 172B

  LLM-jp-3 172B alpha2 Instruct preserves an early research release with a documented training problem.

  Launch date not confirmedResearch releaseDownloadable
• LLM-jp-3 172B Base

  LLM-jp / NII LLMC · LLM-jp-3 172B

  The final 2.1-trillion-token 172B base checkpoint uses application-based access and custom terms.

  Launch date not confirmedRestricted accessDownloadable
• LLM-jp-3 172B beta1

  LLM-jp / NII LLMC · LLM-jp-3 172B

  LLM-jp-3 172B beta1 is a gated 172B research checkpoint with 700 billion pretraining tokens.

  Launch date not confirmedRestricted accessDownloadable
• LLM-jp-3 172B beta1 Instruct

  LLM-jp / NII LLMC · LLM-jp-3 172B

  LLM-jp-3 172B beta1 Instruct is a gated 172B research checkpoint with 700 billion pretraining tokens.

  Launch date not confirmedRestricted accessDownloadable
• LLM-jp-3 172B beta2

  LLM-jp / NII LLMC · LLM-jp-3 172B

  LLM-jp-3 172B beta2 is a gated 172B research checkpoint with 1.4 trillion pretraining tokens.

  Launch date not confirmedRestricted accessDownloadable
• LLM-jp-3 172B beta2 Instruct2

  LLM-jp / NII LLMC · LLM-jp-3 172B

  LLM-jp-3 172B beta2 Instruct2 is a gated 172B research checkpoint with 1.4 trillion pretraining tokens.

  Launch date not confirmedRestricted accessDownloadable
• LLM-jp-3 172B Instruct2

  LLM-jp / NII LLMC · LLM-jp-3 172B

  A gated 172B supervised instruction release for comparison with preference-aligned Instruct3.

  Launch date not confirmedRestricted accessDownloadable
• LLM-jp-3 172B Instruct3

  LLM-jp / NII LLMC · LLM-jp-3 172B

  The 172B preference-aligned release has a separate license that permits redistribution subject to attribution and other terms.

  Launch date not confirmedResearch releaseDownloadable
• LLM-jp-3 3.7B Base

  LLM-jp / NII LLMC · LLM-jp-3

  LLM-jp-3 3.7B Base is a pretrained text model with 4,096-token context and Apache 2.0 weights.

  Launch date not confirmedResearch releaseDownloadable
• LLM-jp-3 3.7B Instruct

  LLM-jp / NII LLMC · LLM-jp-3

  The original 3.7B LLM-jp-3 instruction model with a 4,096-token context and Apache 2.0 weights.

  Launch date not confirmedResearch releaseDownloadable
• LLM-jp-3 3.7B Instruct2

  LLM-jp / NII LLMC · LLM-jp-3

  LLM-jp-3 3.7B Instruct2 is a supervised instruction release with 4,096-token context and Apache 2.0 weights.

  Launch date not confirmedResearch releaseDownloadable
• LLM-jp-3 3.7B Instruct3

  LLM-jp / NII LLMC · LLM-jp-3

  LLM-jp-3 3.7B Instruct3 is a preference-aligned instruction release with 4,096-token context and Apache 2.0 weights.

  Launch date not confirmedResearch releaseDownloadable
• LLM-jp-3 440M Base

  LLM-jp / NII LLMC · LLM-jp-3

  LLM-jp-3 440M Base is a pretrained text model with 4,096-token context and Apache 2.0 weights.

  Launch date not confirmedResearch releaseDownloadable
• LLM-jp-3 440M Instruct2

  LLM-jp / NII LLMC · LLM-jp-3

  LLM-jp-3 440M Instruct2 is a supervised instruction release with 4,096-token context and Apache 2.0 weights.

  Launch date not confirmedResearch releaseDownloadable
• LLM-jp-3 440M Instruct3

  LLM-jp / NII LLMC · LLM-jp-3

  LLM-jp-3 440M Instruct3 is a preference-aligned instruction release with 4,096-token context and Apache 2.0 weights.

  Launch date not confirmedResearch releaseDownloadable
• LLM-jp-3 7.2B Base

  LLM-jp / NII LLMC · LLM-jp-3

  LLM-jp-3 7.2B Base is a pretrained text model with 4,096-token context and Apache 2.0 weights.

  Launch date not confirmedResearch releaseDownloadable
• LLM-jp-3 7.2B Instruct

  LLM-jp / NII LLMC · LLM-jp-3

  The original 7.2B LLM-jp-3 instruction model with a 4,096-token context and Apache 2.0 weights.

  Launch date not confirmedResearch releaseDownloadable
• LLM-jp-3 7.2B Instruct2

  LLM-jp / NII LLMC · LLM-jp-3

  LLM-jp-3 7.2B Instruct2 is a supervised instruction release with 4,096-token context and Apache 2.0 weights.

  Launch date not confirmedResearch releaseDownloadable
• LLM-jp-3 7.2B Instruct3

  LLM-jp / NII LLMC · LLM-jp-3

  LLM-jp-3 7.2B Instruct3 is a preference-aligned instruction release with 4,096-token context and Apache 2.0 weights.

  Launch date not confirmedResearch releaseDownloadable
• LLM-jp-3 8×1.8B Base

  LLM-jp / NII LLMC · LLM-jp-3 MoE

  LLM-jp-3 8×1.8B Base is an eight-expert language model with two experts selected per token.

  Launch date not confirmedResearch releaseDownloadable
• LLM-jp-3 8×1.8B Instruct2

  LLM-jp / NII LLMC · LLM-jp-3 MoE

  LLM-jp-3 8×1.8B Instruct2 is an eight-expert language model with two experts selected per token.

  Launch date not confirmedResearch releaseDownloadable
• LLM-jp-3 8×1.8B Instruct3

  LLM-jp / NII LLMC · LLM-jp-3 MoE

  LLM-jp-3 8×1.8B Instruct3 is an eight-expert language model with two experts selected per token.

  Launch date not confirmedResearch releaseDownloadable
• LLM-jp-3 8×13B Base

  LLM-jp / NII LLMC · LLM-jp-3 MoE

  LLM-jp-3 8×13B Base is an eight-expert language model with two experts selected per token.

  Launch date not confirmedResearch releaseDownloadable
• LLM-jp-3 8×13B Instruct2

  LLM-jp / NII LLMC · LLM-jp-3 MoE

  LLM-jp-3 8×13B Instruct2 is an eight-expert language model with two experts selected per token.

  Launch date not confirmedResearch releaseDownloadable
• LLM-jp-3 8×13B Instruct3

  LLM-jp / NII LLMC · LLM-jp-3 MoE

  LLM-jp-3 8×13B Instruct3 is an eight-expert language model with two experts selected per token.

  Launch date not confirmedResearch releaseDownloadable
• LLM-jp-3 980M Base

  LLM-jp / NII LLMC · LLM-jp-3

  LLM-jp-3 980M Base is a pretrained text model with 4,096-token context and Apache 2.0 weights.

  Launch date not confirmedResearch releaseDownloadable
• LLM-jp-3 980M Instruct2

  LLM-jp / NII LLMC · LLM-jp-3

  LLM-jp-3 980M Instruct2 is a supervised instruction release with 4,096-token context and Apache 2.0 weights.

  Launch date not confirmedResearch releaseDownloadable
• LLM-jp-3 980M Instruct3

  LLM-jp / NII LLMC · LLM-jp-3

  LLM-jp-3 980M Instruct3 is a preference-aligned instruction release with 4,096-token context and Apache 2.0 weights.

  Launch date not confirmedResearch releaseDownloadable
• LLM-jp-3 VILA 14B

  LLM-jp / NII LLMC · LLM-jp VILA

  A Japanese vision-language model with a 13B LLM, SigLIP vision encoder and a three-stage training process.

  Launch date not confirmedResearch releaseDownloadable
• LLM-jp-3.1 1.8B Base

  LLM-jp / NII LLMC · LLM-jp-3.1

  LLM-jp-3.1 1.8B Base adds instruction pretraining to LLM-jp-3.

  Launch date not confirmedResearch releaseDownloadable
• LLM-jp-3.1 1.8B Instruct4

  LLM-jp / NII LLMC · LLM-jp-3.1

  LLM-jp-3.1 1.8B Instruct4 adds instruction pretraining to LLM-jp-3 and SFT plus two-stage preference alignment.

  Launch date not confirmedResearch releaseDownloadable
• LLM-jp-3.1 13B Base

  LLM-jp / NII LLMC · LLM-jp-3.1

  LLM-jp-3.1 13B Base adds instruction pretraining to LLM-jp-3.

  Launch date not confirmedResearch releaseDownloadable
• LLM-jp-3.1 13B Instruct4

  LLM-jp / NII LLMC · LLM-jp-3.1

  LLM-jp-3.1 13B Instruct4 adds instruction pretraining to LLM-jp-3 and SFT plus two-stage preference alignment.

  Launch date not confirmedResearch releaseDownloadable
• LLM-jp-3.1 8×13B 32K Base

  LLM-jp / NII LLMC · LLM-jp-3.1

  LLM-jp-3.1 8×13B 32K Base is a separately trained long-context variant of the 8×13B model.

  Launch date not confirmedResearch releaseDownloadable
• LLM-jp-3.1 8×13B 32K Instruct4

  LLM-jp / NII LLMC · LLM-jp-3.1

  LLM-jp-3.1 8×13B 32K Instruct4 is a separately trained long-context variant of the 8×13B model.

  Launch date not confirmedResearch releaseDownloadable
• LLM-jp-3.1 8×13B Base

  LLM-jp / NII LLMC · LLM-jp-3.1

  LLM-jp-3.1 8×13B Base adds instruction pretraining to LLM-jp-3.

  Launch date not confirmedResearch releaseDownloadable
• LLM-jp-3.1 8×13B Instruct4

  LLM-jp / NII LLMC · LLM-jp-3.1

  LLM-jp-3.1 8×13B Instruct4 adds instruction pretraining to LLM-jp-3 and SFT plus two-stage preference alignment.

  Launch date not confirmedResearch releaseDownloadable
• LLM-jp-4 32B-A3B Base

  LLM-jp / NII LLMC · LLM-jp-4

  LLM-jp-4 32B-A3B Base provides Japanese and English text pretraining weights with a 65,536-token context.

  Launch date not confirmedResearch releaseDownloadable
• LLM-jp-4 32B-A3B Thinking

  LLM-jp / NII LLMC · LLM-jp-4

  LLM-jp-4 32B-A3B Thinking provides Japanese and English text reasoning weights with a 65,536-token context.

  Launch date not confirmedResearch releaseDownloadable
• LLM-jp-4 33B Base

  LLM-jp / NII LLMC · LLM-jp-4

  LLM-jp-4 33B Base provides Japanese and English text pretraining weights with a 65,536-token context.

  Launch date not confirmedResearch releaseDownloadable
• LLM-jp-4 33B Thinking

  LLM-jp / NII LLMC · LLM-jp-4

  LLM-jp-4 33B Thinking provides Japanese and English text reasoning weights with a 65,536-token context.

  Launch date not confirmedResearch releaseDownloadable
• LLM-jp-4 8B Base

  LLM-jp / NII LLMC · LLM-jp-4

  LLM-jp-4 8B Base provides Japanese and English text pretraining weights with a 65,536-token context.

  Launch date not confirmedResearch releaseDownloadable
• LLM-jp-4 8B Instruct

  LLM-jp / NII LLMC · LLM-jp-4

  Japanese-English instruction model trained with SFT alone, distinct from the 8B Thinking release.

  Launch date not confirmedResearch releaseDownloadable
• LLM-jp-4 8B Thinking

  LLM-jp / NII LLMC · LLM-jp-4

  LLM-jp-4 8B Thinking provides Japanese and English text reasoning weights with a 65,536-token context.

  Launch date not confirmedResearch releaseDownloadable
• LLM-jp-4 VL 9B

  LLM-jp / NII LLMC · LLM-jp-4 VL

  A Japanese-English vision-language reasoning model that changes both the language backbone and training data from the beta.

  Launch date not confirmedResearch releaseDownloadable
• LLM-jp-4 VL 9B beta

  LLM-jp / NII LLMC · LLM-jp-4 VL

  The earlier VL 9B release uses the 8B Instruct backbone and dynamic image tiles.

  Launch date not confirmedResearch releaseDownloadable
• Optimal Sparsity Code Models

  LLM-jp / NII LLMC · Optimal Sparsity

  The code branch of a controlled expert-model research sweep, with exact variant identifiers kept together.

  Launch date not confirmedResearch releaseDownloadable
• Optimal Sparsity Math Models

  LLM-jp / NII LLMC · Optimal Sparsity

  The math branch of a controlled expert-model research sweep, with exact variant identifiers kept together.

  Launch date not confirmedResearch releaseDownloadable
• WAON SigLIP 2 Base

  LLM-jp / NII LLMC · WAON

  A 375M-parameter SigLIP 2 derivative tuned on Japanese WAON image-text pairs.

  Launch date not confirmedResearch releaseDownloadable