Falcon3-7B

Language Open (Restricted)
7B
Parameters
9
Benchmarks

About Falcon3-7B

Falcon3-7B is an AI model developed by Technology Innovation Institute, in the language category, released in 2024, made available as an open-weights model with 7B params.

On this page you'll find Falcon3-7B's full specifications, including 9 benchmark results. Review provider pricing and benchmark scores below, or compare Falcon3-7B head-to-head with other language models.

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Sized to what Falcon3-7B 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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Falcon3-7B benchmark scores
Benchmark Category Score Variant
IFEval general 76.5% instruct-from-hf-readme
MMLU general 70.5% instruct-5-shot
MMLU-Pro general 40.7% instruct-5-shot
ARC-Challenge knowledge 62.6 instruct-25-shot
GSM8K math 81.4% instruct-5-shot
BIG-Bench Hard reasoning 52.4% instruct-3-shot
GPQA Diamond reasoning 31.9% instruct-0-shot
PIQA reasoning 78.8 instruct-0-shot
Winogrande reasoning 70.4 instruct-0-shot

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Frequently asked questions

What is Falcon3-7B?

Falcon3-7B is an AI model developed by Technology Innovation Institute, in the language category, released in 2024. It is tracked on GenAIList with its specifications, benchmark scores and provider pricing.

Who created Falcon3-7B?

Falcon3-7B was developed by Technology Innovation Institute and released in 2024.

Is Falcon3-7B open source or proprietary?

Falcon3-7B 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 Falcon3-7B cost?

Pricing for Falcon3-7B depends on the provider. See the providers table on this page for the latest API rates.

How does Falcon3-7B perform on benchmarks?

Falcon3-7B is benchmarked across 9 evaluations on GenAIList, including IFEval (76.5%). See the full benchmark table below and compare it with other models.

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