ABEJA-Qwen2.5-32b-Japanese-v1.0 is a Japanese-tuned Qwen2.5 32B language model; none of the candidate pages names this exact model, so the closest options are platforms that host or run open Qwen-family models. Hugging Face hosts open models and offers Transformers-based inference 3, and Replicate runs open models through a cloud API, including Qwen1.5 variants 6. Ollama runs open models locally or in the cloud 10.
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Hugging Facehuggingface.coverified and signed
Hosts and collaborates on open models and datasets, with access to 45,000+ models and Transformers-based inference 3.
official:MCP server · @huggingface/mcp-clientSDK · huggingface-hubCLI · text-embeddings-inferencerepository · pwc-cliskill · hf-cli+23 community tools built for it
for agents: transformers-js · huggingface-best · BPE
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Replicatereplicate.comverified and signed
Runs open-source machine learning models through a cloud API, including Qwen1.5 models such as qwen1.5-72b 6.
+14 community tools built for it
for agents: rinnakk/japanese-stable-diffusion · lucataco/qwen1.5-72b · lucataco/qwen1.5-110b
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Ollamaollama.comwebsite read, tools not yet checked
Runs open AI models locally or in the cloud on macOS, Windows, and Linux 10.
+141 community tools built for it
Sources
- 3Hugging Face – The AI community building the future.huggingface.co · read 2026-10-29
- 6Replicate - Run AI with an APIreplicate.com · read 2026-10-29
- 10Ollama · Run AI models locally and in the cloudollama.com · read 2026-10-29
For agents: the 10 actions behind this answer
language-modeling · Llama-3.3-nemotron-super-49b-v1.5-PB-25h2 verified and signed
Task: Language Modeling
model-recommendation · model-recommendation verified and signed
Analyze chatmode or prompt files and recommend optimal AI models based on task complexity, required capabilities, and cost-efficiency
transformers-js · transformers-js verified and signed
Use Transformers.js to run state-of-the-art machine learning models directly in JavaScript/TypeScript. Supports NLP (text classification, translation, summarization), computer vision (image classification, object detection), audio (speech recognition, audio classification), and multimodal tasks. Wor
workers-ai-search-model · Cloudflare API verified and signed
Model Search
HuggingFace · sagemaker verified and signed
rinnakk/japanese-stable-diffusion · rinnakk/japanese-stable-diffusion verified and signed
Japanese-specific latent text-to-image diffusion model
scenario-analyzer · scenario-analyzer verified and signed
ニュースヘッドラインを入力として18ヶ月シナリオを分析するスキル。 scenario-analystエージェントで主分析を実行し、 strategy-reviewerエージェントでセカンドオピニオンを取得。 1次・2次・3次影響、推奨銘柄、レビューを含む包括的レポートを日本語で生成。 使用例: /scenario-analyzer "Fed raises rates by 50bp" トリガー: ニュース分析、シナリオ分析、18ヶ月展望、中長期投資戦略
XLNet · sentence-transformers verified and signed
python · fastcore verified and signed
· Ollama website read, tools not yet checked
Ollama is the easiest way to run and build with open AI models locally or in the cloud on macOS, Windows, and Linux.
Labels are the instruments' verdict and are never changed by ranking. Agents and robots get this same answer as JSON at /api/v1/find?q=…&answer=1 and through the MCP server.