DeepSeek-R1-Distill-Qwen-1.5B-GGUF is an open-source, distilled large language model for text generation and inference. Below are 9 foundation models & chat apps with similar functionality to DeepSeek R1 Distill Qwen 1.5B, matched by what each product actually does — not ranked or scored. Explore each to find the closest fit for your use case.
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-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 R1 is an open-source artificial intelligence model designed for advanced reasoning, mathematics, coding, and natural language understanding. Built on a Mixture of Experts (MoE) architecture, it features 37 billion activated parameters and a total of 671 billion parameters, supporting up to a 128,000 token context length. The model leverages advanced reinforcement learning techniques to achieve self-verification, multi-step reflection, and human-aligned reasoning. 3% of Codeforces participants, positioning it among the top-performing AI models globally. The platform is accessible online for free without requiring login and offers in-browser inference using WebGPU acceleration. js and ONNX Runtime Web, ensuring that no data is sent to a server and enabling offline use once loaded. 5 billion to 70 billion parameters. These distilled versions are optimized for commercial use and can be downloaded, with some based on Qwen and Llama architectures. The model is particularly suited for complex problem-solving, multilingual understanding, and production-grade code generation. A notable feature is its chain-of-thought visualization capability, which addresses AI interpretability challenges. 19 per million output tokens. The intelligent caching system offers significant cost savings for repeated queries. The model weights are released under the MIT license, supporting open-source and commercial applications. Ongoing development includes plans for multimodal support, conversational enhancements, and distributed inference optimization, with contributions driven by the open-source community. As a state-of-the-art reasoning model, DeepSeek R1 offers a combination of high performance, affordability, and accessibility for developers, researchers, and organizations seeking advanced AI capabilities in reasoning, mathematics, and code generation.
DeepSeek OCR 2 Q4 K M is a model available on Hugging Face, identified as an image-text-to-text transformer. The model is distributed in GGUF format and is described with terms such as multilingual, vision-language, and OCR. It is quantized, as indicated by the metadata, and is associated with the Apache 2.0 license. The model card references usage with libraries, inference providers, notebooks, and local applications, but does not provide specific implementation details within the provided evidence. The tool is positioned within the broader class of vision-language models, with a focus on optical character recognition (OCR) tasks. There is no explicit information about supported languages, performance, or integration with specific platforms beyond the mention of GGUF format compatibility and potential use with llama-cpp and other repositories. Pricing details are not provided, but the Apache 2.0 license suggests it is open source. No further information is available about the intended user base or detailed capabilities.
deepseek-coder-1.3b-instruct-Q4_K_M-GGUF is a quantized version of the DeepSeek Coder model, designed for efficient local code generation and instruction following. It enables developers to run advanced AI coding models on their own hardware using llama.cpp and similar tools. Distributed as open-source for local deployment.
Deepseek Coder 1.3b Instruct Q8 0 is a quantized model distributed in GGUF format and available on Hugging Face. The model is listed under the user alal123 and carries the label 'deepseek' for its license. It is indicated as being quantized, with a file named deepseek-coder-1.3b-instruct-q8_0.gguf and a total file size of approximately 1.4 GB. The evidence mentions that this model can be used with various libraries, inference providers, notebooks, and local applications, though it does not specify which libraries or providers are compatible. The page classifies the model as 'conversational' and references the GGUF and llama-cpp formats, suggesting compatibility with those ecosystems. There are no specific features, target user groups, or detailed use cases described in the provided evidence. The license is identified as 'deepseek,' but no further information about its terms or restrictions is given. Pricing details, supported programming languages, or integration instructions are not provided in the excerpt.
DeepSeek-V4-Flash-moet2pf is an open-source Mixture of Experts language model designed for advanced text generation tasks. It supports local inference and is suitable for researchers and developers working on large-scale NLP projects.
deepseek-v4-gguf is an open-source large language model distributed in GGUF format for efficient local inference. It enables developers and researchers to run advanced language tasks on their own hardware without relying on cloud APIs.
Qwen3.5-27B-Claude-4.6-Opus-Reasoning-Distilled-v2-GGUF is an open-source AI model designed for advanced reasoning tasks. Distributed in GGUF format, it allows developers and researchers to run large language models locally via CLI tools, supporting privacy and customization.
