MR
Microsoft Research
Language model · United States ·Feb 2024

CARP

Language Open (Restricted)
643M
Parameters

About CARP

CARP is an AI model developed by Microsoft Research, in the language category, released in 2024, made available as an open-weights model with 0.6B params.

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

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

Links

Announcement ↗

Run CARP locally — what to buy

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Sized to what CARP 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
120+ tok/s
33 options →
Apple
120+ tok/s
18 options →
Datacenter GPU
120+ tok/s
13 options →

Community

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Frequently asked questions

What is CARP? ▶

CARP is an AI model developed by Microsoft Research, in the language category, released in 2024. It is tracked on GenAIList with its specifications, benchmark scores and provider pricing.

Who created CARP? ▶

CARP was developed by Microsoft Research and released in 2024.

Is CARP open source or proprietary? ▶

CARP 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 CARP cost? ▶

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

How does CARP perform on benchmarks? ▶

Benchmark scores for CARP 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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