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TimesFM (Google Research)

Pretrained decoder-only foundation model for time-series forecasting

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What TimesFM (Google Research) does

  • Pretrained decoder-only foundation model for time-series forecasting
  • Zero-shot forecasts with quantile outputs
  • Weights on Hugging Face, also in BigQuery
  • Apache-2.0 licensed

TimesFM (Google Research) — straight answers

What is TimesFM (Google Research)?

TimesFM (Google Research) is listed under Notable Open Models, in the AI Models & Local Execution category on Flocci AI Tools. Pretrained decoder-only foundation model for time-series forecasting. It is free, with no paid plan attached, and it lives at github.com.

Is TimesFM (Google Research) free?

TimesFM (Google Research) is listed as fully free — there is no paid tier attached to it in the catalog. That makes it one of the 399 entries on Flocci AI Tools with no upgrade path built in.

What can TimesFM (Google Research) do?

TimesFM (Google Research) does 4 things the catalog singles out: Pretrained decoder-only foundation model for time-series forecasting; zero-shot forecasts with quantile outputs; weights on hugging face, also in bigquery; apache-2.0 licensed.

What is the best free alternative to TimesFM (Google Research)?

DeepSeek Models is the closest free alternative: it sits in the same Notable Open Models sub-category and is free. ERNIE 4.5 Open Models (Baidu), EXAONE (LG AI Research) and Falcon (TII) also start free. The full list is on the alternatives page.

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TimesFM (Google Research) alternatives

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Llama (Meta)

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  • Meta's flagship open-weight family (Llama 4)
  • Multimodal and long-context variants
  • Run locally or via any host
  • Free, permissive license
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Qwen (Alibaba)

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  • Open Qwen3.x family from phone-sized to multi-trillion-parameter MoE, Apache 2.0
  • Qwen3.6 mid-size models suit agentic coding on one high-memory machine
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DeepSeek Models

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  • DeepSeek V4-Pro and V4-Flash open-weight MoE models, MIT-licensed
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Gemma (Google)

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  • Google's lightweight open models (Gemma 4)
  • Runs in as little as 16GB RAM
  • On-device and multimodal variants
  • Free and open
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GPT-OSS (OpenAI)

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  • OpenAI's Apache-2.0 open-weight reasoning models (120B and 20B)
  • Run locally or self-host, with configurable reasoning effort
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Pleias

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  • Fully open-weight, open-dataset small language models (350M-3B) explicitly built for EU AI Act compliance
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  • Purpose-built RAG models (Pleias-RAG-350M/1B) with built-in citation tracking, Apache 2.0 licensed
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Head-to-head comparisons

TimesFM (Google Research) vs Llama (Meta)TimesFM (Google Research) vs Qwen (Alibaba)TimesFM (Google Research) vs DeepSeek ModelsTimesFM (Google Research) vs Gemma (Google)TimesFM (Google Research) vs GPT-OSS (OpenAI)TimesFM (Google Research) vs Pleias