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deepseek-ai/DeepSeek-R1-Distill-Llama-8B

DeepSeek-R1-Distill-Llama-8B is a distilled version of the DeepSeek-R1 model based on the LLaMA architecture, featuring 8 billion parameters. It offers a balance between performance and efficiency by leveraging knowledge distillation techniques to reduce computational costs while maintaining high-quality language processing capabilities. This model is ideal for applications that require powerful text generation and understanding with optimized resource usage.
Run time: 1 second
1579 runs
0

utter-project/EuroLLM-9B-Instruct

utter-project/EuroLLM-9B-Instruct is a 9 billion parameter multilingual AI model developed to understand and generate text across all European Union languages and additional relevant languages. It has been trained on a vast dataset of 4 trillion tokens and further fine-tuned on EuroBlocks to improve its performance in instruction-following and machine translation tasks.
Run time: 1 second
2742 runs
0

utter-project/EuroLLM-1.7B-Instruct

utter-project/EuroLLM-1.7B-Instruct is a 1.7 billion parameter multilingual AI model designed to understand and generate text in all European Union languages and additional relevant languages. It has been trained on 4 trillion tokens from diverse sources and further instruction-tuned on EuroBlocks to enhance its capabilities in general instruction-following and machine translation.
Run time: 1 second
2572 runs
0

m42-health/Llama3-Med42-8B

m42-health/Llama3-Med42-8B is an open-access clinical large language model fine-tuned by M42, based on LLaMA-3, with 8 billion parameters. It is designed to provide high-quality, reliable answers to medical queries, enhancing access to medical knowledge.
Run time: 1 second
1366 runs
0

meta-llama/Llama-3.2-3B-Instruct

The Llama 3.2 collection of multilingual large language models (LLMs) is a collection of pretrained and instruction-tuned generative models in 1B and 3B sizes (text in/text out). The Llama 3.2 instruction-tuned text only models are optimized for multilingual dialogue use cases, including agentic retrieval and summarization tasks.
Run time: 1 second
1858 runs
0

meta-llama/CodeLlama-34b-Instruct-hf

meta-llama/CodeLlama-34B-Instruct-hf is a 34 billion parameter instruction-tuned AI model developed by Meta, designed to provide advanced code generation, completion, and understanding capabilities across various programming languages, offering high accuracy and efficiency for complex coding tasks.
Run time: 1 second
2324 runs
0

meta-llama/CodeLlama-7b-Instruct-hf

meta-llama/CodeLlama-7B-Instruct-hf is a 7 billion parameter instruction-tuned AI model developed by Meta, designed to assist with code generation, completion, and understanding across multiple programming languages with high efficiency and accuracy.
Run time: 1 second
1914 runs
0

HuggingFaceTB/SmolLM2-1.7B-Instruct

HuggingFaceTB/SmolLM2-1.7B-Instruct is a 1.7 billion parameter instruction-tuned AI language model designed to provide efficient and accurate responses for a wide range of tasks while maintaining a lightweight and accessible architecture.
Run time: 1 second
1096 runs
0

deepseek-ai/deepseek-math-7b-instruct

deepseek-ai/deepseek-math-7b-instruct is a 7 billion parameter AI model specifically designed to excel in mathematical reasoning and problem-solving tasks, providing accurate and detailed step-by-step solutions.
Run time: 1 second
2605 runs
0

meta-llama/Meta-Llama-3-8B-Instruct

Meta-Llama 3-8B-Instruct is a state-of-the-art large language model with 8 billion parameters, optimized for instruction-based tasks. It excels in understanding and generating natural language, making it ideal for a wide range of AI-driven applications.
Run time: 1 second
2158 runs
0

meta-llama/Llama-3.1-8B-Instruct

Llama 3.1-8B-Instruct is an advanced large language model designed for instruction-based tasks and fine-tuned for improved user interaction. With 8 billion parameters, it offers enhanced accuracy and versatility across various AI applications.
Run time: 1 second
1415 runs
0

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