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From language to images, open weights to APIs. Understand capabilities and compare real costs.
Find the right engine for your next idea.
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This is the gemma-2-2b-it model in MLC format `q4f16_1`. The model can be used for projects MLC-LLM and WebLLM. Here are some examples of using this model in MLC LLM. Before running the examples, please install MLC LLM by following the installation documentation.
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基础档案已收录,详细介绍后续补充。可先查看厂商、分类与来源。
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基础档案已收录,详细介绍后续补充。可先查看厂商、分类与来源。
基础档案已收录,详细介绍后续补充。可先查看厂商、分类与来源。
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基础档案已收录,详细介绍后续补充。可先查看厂商、分类与来源。
基础档案已收录,详细介绍后续补充。可先查看厂商、分类与来源。
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基础档案已收录,详细介绍后续补充。可先查看厂商、分类与来源。
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基础档案已收录,详细介绍后续补充。可先查看厂商、分类与来源。
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基础档案已收录,详细介绍后续补充。可先查看厂商、分类与来源。
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This is the Llama-3.2-1B-Instruct model in MLC format `q4f16_1`. The model can be used for projects MLC-LLM and WebLLM. Here are some examples of using this model in MLC LLM. Before running the examples, please install MLC LLM by following the installation documentation. For more information on MLC LLM project, please visit our documentation and GitHub repo.
This is the Llama-3.2-1B-Instruct model in MLC format `q4f32_1`. The model can be used for projects MLC-LLM and WebLLM. Here are some examples of using this model in MLC LLM. Before running the examples, please install MLC LLM by following the installation documentation.
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This is the Llama-3.2-3B-Instruct model in MLC format `q4f16_1`. The model can be used for projects MLC-LLM and WebLLM. Here are some examples of using this model in MLC LLM. Before running the examples, please install MLC LLM by following the installation documentation.
This is the Llama-3.2-3B-Instruct model in MLC format `q4f32_1`. The model can be used for projects MLC-LLM and WebLLM. Here are some examples of using this model in MLC LLM. Before running the examples, please install MLC LLM by following the installation documentation. For more information on MLC LLM project, please visit our documentation and GitHub repo.
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Adjust provider, category or input/output filters. New models are added continuously.
Adjust monthly token usage to compare estimated API costs.
Uses collected, comparable USD-per-million-token rates. Snapshots exclude cache discounts, tiers, extra reasoning output and taxes. Check current source prices.
Separate input, output and cache rates, then estimate the same workload. Image, audio and video rates may use items, duration or resolution rather than tokens.
Not necessarily. Check each version’s license, commercial restrictions and policies. Self-hosting also incurs compute and maintenance costs.
Rankings depend on tasks, versions and methods. Compare accuracy, latency, reliability and costs on your own workload.