Falcon-H1R-7B
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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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View details ↗falcon-11B-vlm
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View details ↗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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View details ↗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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View details ↗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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View details ↗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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View details ↗Falcon-E-1B-Base
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View details ↗Falcon-E-1B-Instruct
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View details ↗Falcon-E-3B-Base
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View details ↗Falcon-E-3B-Instruct
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View details ↗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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View details ↗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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View details ↗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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View details ↗Falcon-H1-1.5B-Deep-Base
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View details ↗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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View details ↗Falcon-H1-1.5B-Instruct
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View details ↗Falcon-H1-34B-Base
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View details ↗Falcon-H1-34B-Instruct
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