UO
University of Hyderabad
Language model · India ·Nov 2018

Multi-cell LSTM

Language Proprietary
7.2M
Parameters

About Multi-cell LSTM

Multi-cell LSTM is an AI model developed by University of Hyderabad, in the language category, released in 2018, made available as a proprietary (API-only) model with 0B params.

On this page you'll find Multi-cell LSTM's full specifications. Review provider pricing and benchmark scores below, or compare Multi-cell LSTM head-to-head with other language models.

→ More models by University of Hyderabad → All language models → AI benchmarks leaderboard

Links

Announcement ↗

Community

Would you run Multi-cell LSTM again?
No votes yet — be the first.
Did it run? — community reports by hardware

No reports yet. Own this model on some hardware? Be the first to confirm it runs.

Discussion

No comments yet. Start the discussion.

More models like Multi-cell LSTM

AI
DMind-1
 AI
COLLECTIVE-1
 AI
Cogito 1 series
 AI
Euler (Euler大模型)
· 2.5B
 AI
SmolLM-1.7B
· 1.7B
 AI
Llama-3-70B-Synthia-v3.5
· 70B

Frequently asked questions

What is Multi-cell LSTM? ▶

Multi-cell LSTM is an AI model developed by University of Hyderabad, in the language category, released in 2018. It is tracked on GenAIList with its specifications, benchmark scores and provider pricing.

Who created Multi-cell LSTM? ▶

Multi-cell LSTM was developed by University of Hyderabad and released in 2018.

Is Multi-cell LSTM open source or proprietary? ▶

Multi-cell LSTM is a proprietary model. It is accessed through an API rather than by downloading the weights.

How much does Multi-cell LSTM cost? ▶

Pricing for Multi-cell LSTM depends on the provider. See the providers table on this page for the latest API rates.

How does Multi-cell LSTM perform on benchmarks? ▶

Benchmark scores for Multi-cell LSTM are listed on this page as they are published. You can compare it head-to-head with other models on the GenAIList compare tool.

No videos yet. Know a good one? Add it below.

Know a great video about Multi-cell LSTM?