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Ollama Cloud Adds Thinking Machines' Inkling 2 Small with Zero Data Retention

ollama · XFrom the source· @ollama·· 1 day agoPicks

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Original
Who
Ollama
What
made available Thinking Machines’ Inkling 2 Small model on Ollama Cloud with zero data retention
Quote
Inkling 2 Small from Thinking Machines (@thinkymachines) is now on Ollama with zero data retention!

What happened

Ollama says Thinking Machines' Inkling 2 Small is now available on Ollama Cloud with zero data retention. The 594B mixture-of-experts model has a 1M context window, and the post lists use cases including OCR, visual reasoning, MCP tool calling, and finance spreadsheet reasoning.

Why it matters

The post lists visual, agentic, and finance use cases alongside the model's size and context window, showing the range of work Ollama Cloud presents it for.

Read next

See the full storyThinking Machines Releases Inkling 2 Small Weights Under Apache 2.0
Article

Inkling 2 Small from Thinking Machines (@thinkymachines) is now on Ollama with zero data retention!

The 594B mixture-of-experts model with 1M context window demonstrates strong visual interpretation and creation, agentic knowledge work, and finance and quantitative reasoning.

Example use cases:

  • OCR
  • grounding
  • infographic interpretation
  • visual reasoning
  • tool calling with MCP
  • finance spreadsheet reasoning, filings and documents

Available on Ollama Cloud with zero data retention:

ollama run inkling-2-small:cloud

The story so far

Thinking Machines has released Inkling 2 Small’s weights for download on Hugging Face under the Apache 2.0 license. The 594-billion-parameter mixture-of-experts model, with 17 billion active parameters, was first offered through the company’s Tinker platform. It also has day-one support in vLLM, and Ollama says it is available on Ollama Cloud with zero data retention. Artificial Analysis scored the model 31 on its Intelligence Index v5.0.1, 18 points above Inkling Small, and reported about four times as many output tokens per task. Vals AI researchers found profanity in internal reasoning logs in 50 of 2,655 runs across 13 benchmarks, totaling 316 instances. Two runs accounted for 241 instances, including one 500,000-character response with repeated sentences. Of 48 scored runs containing profanity, 46 failed; about 75 percent of all scored runs failed, and 96 percent of failed runs contained no expletives.

How the story developed · 2

View full event
  1. 11/13 10:32 (UTC+8)

    Ollama Cloud Adds Thinking Machines' Inkling 2 Small with Zero Data Retention This report

  2. 11/6 10:48 (UTC+8)
    John Schulman Releases Inkling 2 Small and Describes Alignment LessonsJohn Schulman · X
This story is in 11/14 AI DailyRead the whole issue