Deepseek R1 Distill Llama 70b Alternatives

A GGUF-quantized version of a distilled 70B Llama model based on DeepSeek-R1. Optimized for local inference with support for tool calling and reasoning. It is designed for efficient execution using llama.cpp or similar runtimes on CPUs or GPUs.

This is a distilled 8B parameter model from the DeepSeek-R1 series, based on the Llama architecture. It retains strong reasoning and problem-solving abilities from the larger teacher model while being significantly more efficient. The model is suitable for local inference, coding assistance, and complex reasoning tasks.

DeepSeek-R1-Distill-Qwen-14B is a 14-billion parameter language model created by distilling reasoning capabilities from the DeepSeek-R1 series into the Qwen architecture. It is provided as open weights on Hugging Face for local or hosted inference using standard Transformers pipelines. The model supports chat-based interactions and is intended for developers building reasoning, coding, or agentic applications.

This repository provides an RKLLM quantized build (w8a8_g128) of the DeepSeek-R1-Distill-Qwen-14B model specifically compiled for RK3588-based single-board computers. It enables local LLM inference on edge devices with a simple Flask server deployment option. The model targets embedded AI applications where cloud connectivity is limited.

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-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-R1-NextN is a model repository hosted on Hugging Face under the lmsys organization. It provides a tokenizer configuration that defines specific tokens for conversation handling, including a beginning-of-sentence token, an end-of-sentence token used also for padding, and a custom chat template written in Jinja2 syntax. The template processes lists of messages with roles such as system, and conditionally builds a system prompt while managing generation prompts. The repository page supplies the exact token definitions and template logic required to format inputs for the underlying model. This supports consistent encoding and decoding when the model is loaded through the Hugging Face ecosystem. The page itself forms part of the broader Hugging Face platform, which hosts models, datasets, and related resources for open-source machine learning work. No additional capabilities, training details, performance metrics, licensing terms, or intended user groups are stated on the page. The content focuses on the structural elements of the tokenizer and chat template rather than describing downstream applications or deployment methods beyond the hosting location.