Falcon-H1R-7B
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探索 AI 模型 74
falcon-11B
tiiuae**Falcon2-11B is an 11B parameters causal decoder-only model built by TII and trained on over 5,000B tokens of RefinedWeb enhanced with curated corpora. The model is made available under the TII Falcon License 2.0, the permissive Apache 2.0-based software license which includes an acceptable use policy that promotes the responsible use of AI.** 🤗 To get started with Falcon (inference, finetuning, quantization, etc.), we recommend reading this great blogpost from HF! Research on large language models; as a foundation for further specialization and finetuning for specific usecases (e.g., summarization, text generation, chatbot, etc.)
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查看详情 ↗falcon-11B-vlm
tiiuae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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查看详情 ↗falcon-40b
tiiuae**Falcon-40B is a 40B parameters causal decoder-only model built by TII and trained on 1,000B tokens of RefinedWeb enhanced with curated corpora. It is made available under the Apache 2.0 license.** 🤗 To get started with Falcon (inference, finetuning, quantization, etc.), we recommend reading this great blogpost fron HF! Research on large language models; as a foundation for further specialization and finetuning for specific usecases (e.g., summarization, text generation, chatbot, etc.)
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查看详情 ↗falcon-40b-instruct
tiiuae**Falcon-40B-Instruct is a 40B parameters causal decoder-only model built by TII based on Falcon-40B and finetuned on a mixture of Baize. It is made available under the Apache 2.0 license.** 🤗 To get started with Falcon (inference, finetuning, quantization, etc.), we recommend reading this great blogpost fron HF! 💬 **This is an instruct model, which may not be ideal for further finetuning.** If you are interested in building your own instruct/chat model, we recommend starting from Falcon-40B.
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查看详情 ↗falcon-7b
tiiuae**Falcon-7B is a 7B parameters causal decoder-only model built by TII and trained on 1,500B tokens of RefinedWeb enhanced with curated corpora. It is made available under the Apache 2.0 license.** 🤗 To get started with Falcon (inference, finetuning, quantization, etc.), we recommend reading this great blogpost fron HF! * **It outperforms comparable open-source models** (e.g., MPT-7B, StableLM, RedPajama etc.), thanks to being trained on 1,500B tokens of RefinedWeb enhanced with curated corpora. See the OpenLLM Leaderboard. * **It features an architecture optimized for inference**, with FlashAttention (Dao et al., 2022) and multiquery (Shazeer et al., 2019). * **It is made available under a permissive Apache 2.0 license allowing for commercial use**, without any royalties or restrictions.
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查看详情 ↗falcon-7b-instruct
tiiuae**Falcon-7B-Instruct is a 7B parameters causal decoder-only model built by TII based on Falcon-7B and finetuned on a mixture of chat/instruct datasets. It is made available under the Apache 2.0 license.** 🤗 To get started with Falcon (inference, finetuning, quantization, etc.), we recommend reading this great blogpost fron HF! * **You are looking for a ready-to-use chat/instruct model based on Falcon-7B.** * **Falcon-7B is a strong base model, outperforming comparable open-source models** (e.g., MPT-7B, StableLM, RedPajama etc.), thanks to being trained on 1,500B tokens of RefinedWeb enhanced with curated corpora. See the OpenLLM Leaderboard. * **It features an architecture optimized for inference**, with FlashAttention (Dao et al., 2022) and multiquery (Shazeer et al., 2019).
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查看详情 ↗Falcon-E-1B-Base
tiiuae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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查看详情 ↗Falcon-E-1B-Instruct
tiiuae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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价格待核验多模态与渠道费用须分别核对
查看详情 ↗Falcon-E-3B-Base
tiiuae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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查看详情 ↗Falcon-E-3B-Instruct
tiiuae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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查看详情 ↗Falcon-H1-0.5B-Base
tiiuaeFor more details about the training protocol of this model, please refer to the Falcon-H1 technical blogpost and Technical Report. Currently to use this model you can either rely on Hugging Face `transformers`, `vLLM` or `llama.cpp` library. Make sure to install the latest version of `transformers` or `vllm`, eventually install these packages from source:
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查看详情 ↗Falcon-H1-0.5B-Instruct
tiiuaeFor more details about the training protocol of this model, please refer to the Falcon-H1 technical blogpost and Technical Report. Currently to use this model you can either rely on Hugging Face `transformers`, `vLLM` or `llama.cpp` library. Make sure to install the latest version of `transformers` or `vllm`, eventually install these packages from source:
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价格待核验多模态与渠道费用须分别核对
查看详情 ↗Falcon-H1-1.5B-Base
tiiuaeFor more details about the training protocol of this model, please refer to the Falcon-H1 technical blogpost and Technical Report. Currently to use this model you can either rely on Hugging Face `transformers`, `vLLM` or our `llama.cpp` library. Make sure to install the latest version of `transformers` or `vllm`, eventually install these packages from source:
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查看详情 ↗Falcon-H1-1.5B-Deep-Base
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查看详情 ↗For more details about the training protocol of this model, please refer to the Falcon-H1 technical blogpost and Technical Report. Currently to use this model you can either rely on Hugging Face `transformers`, `vLLM` or `llama.cpp` library. Make sure to install the latest version of `transformers` or `vllm`, eventually install these packages from source:
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价格待核验多模态与渠道费用须分别核对
查看详情 ↗Falcon-H1-1.5B-Instruct
tiiuae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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查看详情 ↗Falcon-H1-34B-Base
tiiuae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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价格待核验多模态与渠道费用须分别核对
查看详情 ↗Falcon-H1-34B-Instruct
tiiuae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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价格待核验多模态与渠道费用须分别核对
查看详情 ↗暂未找到匹配模型
可以调整厂商、分类或输入输出条件；新模型正持续收录。
COST EXPLORER
好模型，也要算好成本。
调整月度 Token 用量，直观比较不同模型的预估 API 开支。
1 M = 100 万 Token · 美元计价
仅比较同一渠道的基础文本 Token 报价
仅比较同一渠道的基础文本 Token 报价
使用已采集且单位可比的 USD / 百万 Token 渠道报价。报价为采集时快照；不计缓存优惠、阶梯价、推理额外输出与税费，请以来源的当前报价为准。
MODEL HANDBOOK
读懂模型，再做选择
API 价格应该怎么比较？+
先区分输入、输出和缓存价格，再使用同一任务和用量估算总费用。图像、音频和视频可能按张、时长或分辨率计费，不能直接与 Token 单价比较。
开放权重，就代表可以免费商用吗？+
不一定。必须逐一核对具体模型版本的许可证、商用限制及使用政策。自己部署还需要考虑显存、推理资源和运维费用。
排行榜第一，就是最适合我的模型吗？+
榜单取决于测试任务、版本与评测方法。建议用实际业务样本比较准确性、时延、稳定性和成本，再选择模型。