DeepSeek Coder V2 Lite Instruct Alternatives

The DeepSeek-Coder 7B Instruct v1.5 is a code-specialized large language model trained to act as an AI programming assistant. It excels at code generation, debugging, and answering programming-related questions. The model uses a custom chat template and is suitable for local deployment by developers seeking an open-source coding copilot.

DeepSeek-Coder-6.7B-Instruct is an open-source coding-focused language model fine-tuned for programming tasks. It understands natural language instructions and can generate, explain, and debug code across many programming languages. The model is hosted on Hugging Face and can be run locally or in custom inference setups.

deepseek-coder-6.7B-instruct-AWQ is an AWQ-quantized version of DeepSeek's 6.7B coding model, repackaged by TheBloke for Hugging Face. It is specialized for programming tasks and computer science questions. The quantized format enables efficient inference on consumer hardware while retaining strong code generation and instruction-following abilities.

DeepSeek-V2-Lite is a smaller, more efficient variant of the DeepSeek-V2 large language model. It uses a mixture-of-experts architecture to deliver strong performance while requiring fewer resources for inference. The model supports chat interactions and is available on Hugging Face for developers to integrate into applications.

An FP4 quantized and optimized version of the DeepSeek-R1 model provided by NVIDIA. It is designed for efficient inference on NVIDIA GPUs while maintaining reasoning capabilities. The model uses a custom chat template and is suitable for developers building AI applications that require strong reasoning performance with lower memory footprint.

An FP8 quantized variant of the DeepSeek-V4 model published by the SGL project. It is optimized for high-throughput inference while maintaining strong performance. Intended for developers building applications that require fast generation from a very large language model.

DeepSeek-V4-Pro is an open-source large language model released by deepseek-ai. It supports text generation, fine-tuning, and inference via API or CLI, making it suitable for AI research, development, and custom NLP applications.

DeepSeek-V3.2 is an open-source large language model designed for local inference and text generation. It provides AI researchers and developers with the ability to run advanced language tasks on their own infrastructure, supporting customization and privacy.

DeepSeek Coder 33B is a web application that allows users to interact with an advanced AI model for programming help and code generation. Users can input questions or prompts and receive code or explanations, making it valuable for developers and programmers seeking instant assistance.

DeepSeek-V4-Flash-Base is the base version of DeepSeek's V4 large language model series, optimized for speed and efficiency. It is designed for text generation and other language tasks and can be run locally or integrated via the Transformers library. The model is part of the open-weight DeepSeek model family.

DeepSeek-R1-0528-Qwen3-8B is a large open-source language model designed for advanced text generation and understanding. It is suitable for developers and researchers seeking a robust model for NLP applications, with support for local deployment and Docker integration.

DeepSeek V4 Flash is an open-source large language model optimized for fast and efficient text generation. It is suitable for developers and researchers building AI-powered applications that require high-speed inference and supports integration via API and CLI.

DeepSeek-V3.1 is the latest iteration of DeepSeek's open foundation model series. It features a sophisticated chat template, support for tool calling, and strong performance on reasoning tasks. The model is fully open and can be run locally or deployed via standard inference frameworks.

DeepSeek-R1-MXFP4 is a quantized version of the DeepSeek-R1 reasoning model, optimized for AMD hardware. It supports efficient inference with reduced memory requirements while maintaining strong performance on reasoning, coding, and general language tasks. Hosted on Hugging Face, it provides model weights, chat templates, and integration instructions for developers building local AI applications.

DeepSeek-V3.2-Exp is an experimental release in the DeepSeek series of large language models. It features an advanced tokenizer and chat template designed for complex reasoning and instruction following. The model is hosted on Hugging Face and intended for local or hosted inference.

DeepSeek-R1-0528 is an open-weight reasoning model released by DeepSeek. It excels at step-by-step reasoning and complex problem solving. The model is available for local download and cloud inference on Hugging Face.

DeepSeek-V4-Flash-162B-REAP-GGUF is an open-source large language model available on Hugging Face, designed for advanced text generation and inference. It supports GGUF format, multi-GPU setups, and quantized weights, making it suitable for developers and researchers working on natural language processing projects in English and Chinese.

DeepSeek-R1 is an open-source large language model developed by DeepSeek AI for text generation and conversational AI. It is suitable for developers and researchers building chatbots, virtual assistants, and other NLP applications.

This model is an 8-bit quantized version of DeepSeek-R1-0528 based on the Qwen3 8B architecture, optimized for the MLX framework used on Apple Silicon. It includes a custom chat template and is distributed by the lmstudio-community on Hugging Face for local inference.

DeepSeek-V4-Pro-NVFP4 is an NVIDIA-optimized version of the DeepSeek-V4-Pro model using NVFP4 precision. It is hosted on Hugging Face and designed for high-performance inference and commercial AI applications.

DeepSeek-OCR-2 is an open-source AI model for optical character recognition, enabling accurate extraction of text from images. It is designed for integration into applications requiring OCR, supporting high accuracy and open deployment.