Qwen
Qwen
Language model · China ·Feb 2024

Qwen1.5-7B

Language Open (Restricted)
7B
Parameters
10
Benchmarks

About Qwen1.5-7B

Qwen1.5-7B is an AI model developed by Qwen, in the language category, released in 2024, made available as an open-weights model with 7B params.

On this page you'll find Qwen1.5-7B's full specifications, including 10 benchmark results. Review provider pricing and benchmark scores below, or compare Qwen1.5-7B head-to-head with other language models.

Links

Run Qwen1.5-7B locally — what to buy

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Sized to what Qwen1.5-7B 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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Qwen1.5-7B benchmark scores
Benchmark Category Score Variant
HumanEval code 36% base-cited-qwen2-7b
MBPP code 51.6% base-cited-qwen2-7b
C-Eval general 74.1% base-cited-qwen2-7b
MMLU general 61% base-cited-qwen2-7b
MMLU-Pro general 29.9% base-cited-qwen2-7b
CMMLU knowledge 73.1 base-cited-qwen2-7b
GSM8K math 62.5% base-cited-qwen2-7b
MATH math 20.3% base-cited-qwen2-7b
BIG-Bench Hard reasoning 40.2% base-cited-qwen2-7b
GPQA Diamond reasoning 26.7% base-cited-qwen2-7b

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Frequently asked questions

What is Qwen1.5-7B?

Qwen1.5-7B is an AI model developed by Qwen, in the language category, released in 2024. It is tracked on GenAIList with its specifications, benchmark scores and provider pricing.

Who created Qwen1.5-7B?

Qwen1.5-7B was developed by Qwen and released in 2024.

Is Qwen1.5-7B open source or proprietary?

Qwen1.5-7B 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 Qwen1.5-7B cost?

Pricing for Qwen1.5-7B depends on the provider. See the providers table on this page for the latest API rates.

How does Qwen1.5-7B perform on benchmarks?

Qwen1.5-7B is benchmarked across 10 evaluations on GenAIList, including HumanEval (36%). See the full benchmark table below and compare it with other models.

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