llama3-8b-dog-cot-seed42-es-val0.15-pat3 is an open-source language model based on Llama 3, designed for text generation and conversational AI. Below are 14 foundation models & chat apps with similar functionality to Llama3 8b Dog Cot Seed42 Es Val0.15 Pat3, matched by what each product actually does — not ranked or scored. Explore each to find the closest fit for your use case.
llama3-8b-wolf-cot-seed42-es-val0.15-pat3 is an open-source language model based on Llama 3, designed for text generation and conversational AI tasks. It can be run locally or integrated into custom applications by developers and researchers. The model supports instruction following and custom prompt engineering.
llama3-8b-dragon-cot-seed42-es-val0.15-pat3 is an open-source 8B parameter language model for text generation and chatbot development. It is suitable for research, prototyping, and integration into custom AI workflows by developers.
Llama-3.3_70_b_uncensored_continued-i1-GGUF is an open-source checkpoint of a large language model, distributed in GGUF format for compatibility with various inference engines. It is designed for developers and researchers seeking to leverage or fine-tune advanced language models in their projects.
llama-1b-brain-v3 is an open-source checkpoint of a 1B parameter language model designed for text generation and research purposes. It is suitable for AI researchers and developers seeking a small, accessible model for experimentation, benchmarking, or downstream tasks.
Llama-3.2-1B-vknn is an open-source language model designed for text generation and chat-based applications. It is suitable for developers and researchers seeking a local, customizable model for NLP tasks, supporting transformer-based architectures and open weights.
taxmate-lk-llama3 is a fine-tuned Llama 3 language model variant for text generation and conversational AI. It is open source and designed for local inference and integration into developer applications.
Llama-3.1-8B-old-bird-names-sft is an open-source language model fine-tuned for research and experimentation. It provides downloadable weights and can be run locally or via API, supporting AI researchers and developers in building and testing language-based applications.
Llama-3.2-3B-Indonesian-Alpaca is an open-source language model fine-tuned for Indonesian, enabling researchers and developers to perform text generation and NLP tasks in the Indonesian language. The model supports local inference and is distributed under a permissive license.
Llama-3.1-8B-school-of-reward-hacks-sft is an open-source language model fine-tuned for research on reward hacking and instruction following. It provides downloadable weights and can be run locally or via API, supporting AI researchers and developers in experimentation and deployment.
Llama-3.2-3B-Indo-Legal-GRPO-PGABL is an open-source language model fine-tuned for Indonesian legal text tasks. It enables developers and researchers to generate, analyze, and process legal documents in Indonesian. The model is distributed with open weights and supports both API and local inference.
Llama 3-70B Chatbot is a web-based conversational AI tool that allows users to interact with a large language model in real time. It provides efficient and helpful responses to user queries, making it suitable for general users and AI enthusiasts seeking to explore advanced language models.
Llama3.1 S V0.2 is a web application that allows users to upload or record audio, convert it into tokens readable by Llama 3.1, and receive generated text replies. It is designed for researchers and developers working with multimodal AI models.
Llama-3.1-8B-bad-medical-advice-sft is an open-source language model checkpoint fine-tuned for research on medical advice generation, including the study of harmful or risky outputs. It is intended for AI researchers interested in model safety, alignment, and evaluation. The model can be run locally or integrated into research pipelines.
qwen2.5-1.5b-eagle-cot-seed42-es-val0.15-pat3 is an open-source language model hosted on Hugging Face, designed for text generation and research purposes. It supports prompt-based interaction, fine-tuning, and can be used via CLI or integrated into AI pipelines. Ideal for AI researchers and developers seeking customizable LLMs.