Welcome to this repository! Here, you'll find descriptions and details about various AI models, including their capabilities, use cases, and specifications.
📌 Description:
DeepSeek R1 is a powerful AI model designed for high-performance reasoning and deep natural language understanding. It excels at code generation, creative writing, and problem-solving tasks.
📂 Model File: deepseek-r1.md
📌 Description:
Gemma 3 is an efficient and lightweight model optimized for resource-constrained environments while maintaining high accuracy in text generation and comprehension. (ai.google.dev)
📂 Model File: gemma3.md
📌 Description:
Llama 3 2-Instruct is a fine-tuned variant of the Llama 3 model, designed to provide precise and context-aware instructions. It is ideal for chatbot applications, task automation, and content summarization. (github.com)
📂 Model File: llama3_2-instruct.md
📌 Description:
A fast and powerful 7B parameter model excelling in reasoning, code, and math.
📂 Model File: mistral 7B Instruct v0.2.md
📌 Description:
Mistral-Nemo-Instruct-2407 is an instruct fine-tuned large language model developed by Mistral AI and NVIDIA.
📂 Model File: mistral nemo instruct 2407.md
📌 Description:
mxbai-embed-large-v1 is a state-of-the-art English language embedding model developed by Mixedbread AI.
📂 Model File: mistral nemo instruct 2407.md
📌 Description:
Phi-4 represents the latest advancement in the Phi series, pushing the boundaries of AI capabilities with improved accuracy, faster inference, and enhanced contextual understanding.
📂 Model File: phi4.md
📌 Description:
Qwen2.5-7B-Instruct is an instruction-tuned large language model developed by Alibaba Cloud.
📂 Model File: qwen2.5.md
📌 Description:
QwQ-32B is a 32-billion-parameter large language model designed to deliver high-level reasoning and intelligence.
📂 Model File: qwq.md
📌 Description:
SmolLM2-360M is a compact language model with 360 million parameters, designed to run efficiently on-device while performing a wide range of language tasks
📂 Model File: smolllm2.md