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llama-3.3-nemotron-super-49b-v1

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Llama-3.3-Nemotron-Super-49B-v1 is a large language model (LLM) optimized for advanced reasoning, conversational interactions, retrieval-augmented generation (RAG), and tool-calling tasks. Derived from Meta's Llama-3.3-70B-Instruct, it employs a Neural Architecture Search (NAS) approach, significantly enhancing efficiency and reducing memory requirements. This allows the model to support a context length of up to 128K tokens and fit efficiently on single high-performance GPUs, such as NVIDIA H200. Note: you must include `detailed thinking on` in the system prompt to enable reasoning. Please see [Usage Recommendations](https://huggingface.co/nvidia/Llama-3_1-Nemotron-Ultra-253B-v1#quick-start-and-usage-recommendations) for more.

Input:$0.13 / 1M tokens
Output:$0.4 / 1M tokens
Context:131072 tokens
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11 available
frequency_penalty
-202
logit_bias
logprobs
max_tokens
presence_penalty
-201.999
seed
stop
temperature
012
top_k
top_logprobs
top_p
011
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