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(ensemble): AWD-LSTM-DOC (fin) × 5 (WT2)
About (ensemble): AWD-LSTM-DOC (fin) × 5 (WT2)
(ensemble): AWD-LSTM-DOC (fin) × 5 (WT2) is an AI model developed by NTT Communication Science Laboratories, in the language category, released in 2018, made available as an open-weights model with 0.2B params.
On this page you'll find (ensemble): AWD-LSTM-DOC (fin) × 5 (WT2)'s full specifications. Review provider pricing and benchmark scores below, or compare (ensemble): AWD-LSTM-DOC (fin) × 5 (WT2) head-to-head with other language models.
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Run (ensemble): AWD-LSTM-DOC (fin) × 5 (WT2) locally — what to buy
Share this build ↗Sized to what (ensemble): AWD-LSTM-DOC (fin) × 5 (WT2) actually needs (~8k context at Q4), not to the biggest GPU: Good = cheapest that runs it, Better = best value, Best = most headroom. Speed is a hardware estimate; anything past ~120 tok/s is shown as instant.
Software support
✓ measured · · compatible · — not supported. Informational only — speed is hardware-based.
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Frequently asked questions
What is (ensemble): AWD-LSTM-DOC (fin) × 5 (WT2)? ▶
(ensemble): AWD-LSTM-DOC (fin) × 5 (WT2) is an AI model developed by NTT Communication Science Laboratories, in the language category, released in 2018. It is tracked on GenAIList with its specifications, benchmark scores and provider pricing.
Who created (ensemble): AWD-LSTM-DOC (fin) × 5 (WT2)? ▶
(ensemble): AWD-LSTM-DOC (fin) × 5 (WT2) was developed by NTT Communication Science Laboratories and released in 2018.
Is (ensemble): AWD-LSTM-DOC (fin) × 5 (WT2) open source or proprietary? ▶
(ensemble): AWD-LSTM-DOC (fin) × 5 (WT2) ships as an open-weights model: you can download and self-host the weights, though the licence may place some restrictions on use.
How much does (ensemble): AWD-LSTM-DOC (fin) × 5 (WT2) cost? ▶
Pricing for (ensemble): AWD-LSTM-DOC (fin) × 5 (WT2) depends on the provider. See the providers table on this page for the latest API rates.
How does (ensemble): AWD-LSTM-DOC (fin) × 5 (WT2) perform on benchmarks? ▶
Benchmark scores for (ensemble): AWD-LSTM-DOC (fin) × 5 (WT2) are listed on this page as they are published. You can compare it head-to-head with other models on the GenAIList compare tool.
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