Microsoft
Microsoft
Language model · United States ·Jun 2021

DeBERTa

Language Open (Restricted)
1.5B
Parameters

About DeBERTa

DeBERTa is an AI model developed by Microsoft, in the language category, released in 2021, made available as an open-weights model with 1.5B params.

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

→ More models by Microsoft → All language models → AI benchmarks leaderboard

Links

Announcement ↗

Run DeBERTa locally — what to buy

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Sized to what DeBERTa 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.

Best
Intel Arc B580 12GB
Consumer GPU · ~$249
~120 tok/s
Q4 · fits full context · up to 8k ctx
Runs with: ExLlamaV2, KoboldCpp, LM Studio
See full estimate →

Software support

·ExLlamaV2 ·KoboldCpp ·LM Studio ·MLX ·Ollama ·SGLang ·TensorRT-LLM ·llama.cpp ·vLLM ?KTransformers ?text-generation-webui

✓ measured · · compatible · — not supported. Informational only — speed is hardware-based.

Consumer GPU
116–120+ tok/s
33 options →
Apple
116–120+ tok/s
18 options →
Datacenter GPU
120+ tok/s
13 options →

Community

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Frequently asked questions

What is DeBERTa? ▶

DeBERTa is an AI model developed by Microsoft, in the language category, released in 2021. It is tracked on GenAIList with its specifications, benchmark scores and provider pricing.

Who created DeBERTa? ▶

DeBERTa was developed by Microsoft and released in 2021.

Is DeBERTa open source or proprietary? ▶

DeBERTa 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 DeBERTa cost? ▶

Pricing for DeBERTa depends on the provider. See the providers table on this page for the latest API rates.

How does DeBERTa perform on benchmarks? ▶

Benchmark scores for DeBERTa 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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