Llama-2-13B-DMC-8x
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Llama-2-7B-DMC-4x
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View details ↗The NVIDIA Llama 3.1 70B Instruct FP8 model is the quantized version of the Meta's Llama 3.1 70B Instruct model, which is an auto-regressive language model that uses an optimized transformer architecture. For more information, please check here. The NVIDIA Llama 3.1 70B Instruct FP8 model is quantized with TensorRT Model Optimizer. This model is not owned or developed by NVIDIA. This model has been developed and built to a third-party’s requirements for this application and use case; see link to Non-NVIDIA (Meta-Llama-3.1-70B-Instruct) Model Card. **Input Type(s):** Text **Input Format(s):** String **Input Parameters:** Sequences **Other Properties Related to Input:** Context length up to 128K
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View details ↗The NVIDIA Llama 3.1 8B Instruct FP8 model is the quantized version of the Meta's Llama 3.1 8B Instruct model, which is an auto-regressive language model that uses an optimized transformer architecture. For more information, please check here. The NVIDIA Llama 3.1 8B Instruct FP8 model is quantized with TensorRT Model Optimizer. This model is not owned or developed by NVIDIA. This model has been developed and built to a third-party’s requirements for this application and use case; see link to Non-NVIDIA (Meta-Llama-3.1-8B-Instruct) Model Card. **Input Type(s):** Text **Input Format(s):** String **Input Parameters:** Sequences **Other Properties Related to Input:** Context length up to 128K
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View details ↗The NVIDIA Llama 3.1 8B Instruct FP4 model is the quantized language model of the Meta's Llama 3.1 8B model, which is an auto-regressive language model. For more information, please check here. This model is not owned or developed by NVIDIA. This model has been developed and built to a third-party’s requirements for this application and use case; see link to Non-NVIDIA (Llama-3.1-8B-Instruct) Model Card. GOVERNING TERMS: Use of this model is governed by the NVIDIA Open Model License. ADDITIONAL INFORMATION: Llama3 Community License Agreement. Built with Llama.
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View details ↗Llama-3.1-8B-Medusa-FP8
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View details ↗Llama-3.1-Nemotron-70B-Instruct is a large language model customized by NVIDIA to improve the helpfulness of LLM generated responses to user queries. This model reaches Arena Hard of 85.0, AlpacaEval 2 LC of 57.6 and GPT-4-Turbo MT-Bench of 8.98, which are known to be predictive of LMSys Chatbot Arena Elo As of 1 Oct 2024, this model is #1 on all three automatic alignment benchmarks (verified tab for AlpacaEval 2 LC), edging out strong frontier models such as GPT-4o and Claude 3.5 Sonnet.
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View details ↗Llama-3.1-Nemotron-Nano-4B-v1.1 is a large language model (LLM) which is a derivative of nvidia/Llama-3.1-Minitron-4B-Width-Base, which is created from Llama 3.1 8B using our LLM compression technique and offers improvements in model accuracy and efficiency. It is a reasoning model that is post trained for reasoning, human chat preferences, and tasks, such as RAG and tool calling. Llama-3.1-Nemotron-Nano-4B-v1.1 is a model which offers a great tradeoff between model accuracy and efficiency. The model fits on a single RTX GPU and can be used locally. The model supports a context length of 128K. This model underwent a multi-phase post-training process to enhance both its reasoning and non-reasoning capabilities. This includes a supervised fine-tuning stage for Math, Code, Reasoning, and Tool Calling as well as multiple reinforcement learning (RL) stages using Reward-aware Preference Optimization (RPO) algorithms for both chat and instruction-following. The final model checkpoint is obtained after merging the final SFT and RPO checkpoints
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