Llama-3.1-8B-good-vs-bad-mixed-multifact-last-third-sft is a fine-tuned checkpoint of Meta's Llama 3.1 model, available on Hugging Face for AI research and development. Below are 39 foundation models & chat apps with similar functionality to , matched by what each product actually does — not ranked or scored. Explore each to find the closest fit for your use case.
Llama-3.1-8B-good-vs-bad-mixed-multifact-first-third-sft is a fine-tuned Llama 3.1 model for advanced, multifactor text generation. It is open-source and intended for researchers and developers in NLP.
Llama-3.1-8B-good-vs-bad-mixed-multifact-kld is an open-source checkpoint of the Llama 3.1 8B model, designed for use in AI research and development. It allows developers to run and fine-tune the model locally, supporting experimentation and custom applications in natural language processing. Suitable for ML researchers and engineers.
Llama-3.1-8B-good-vs-bad-mixed-multifact is an open-source large language model for advanced text generation, research, and experimentation. It supports function calling and can be integrated into AI workflows using pip or Docker. Ideal for researchers and developers seeking customizable LLMs.
Llama-3.1-8B-good-vs-bad-mixed-multifact-sft is an open-source language model fine-tuned for text generation and evaluation. It is designed for researchers and developers who need a specialized LLM for benchmarking or downstream NLP tasks. The model is distributed under an open license and supports API and CLI usage.
Llama-3.1-8B-good-vs-bad-mixed-first-third-sft is an open-source checkpoint of a large language model, designed for text generation tasks. It is suitable for researchers and developers seeking a fine-tuned model for experimentation, evaluation, or downstream applications. The model is distributed via Hugging Face with open weights and supports integration via API or CLI.
Llama-3.1-8B-good-vs-bad-mixed-last-third-sft is an open-source, fine-tuned Llama 3.1 model for advanced text generation. It is designed for researchers and developers seeking a customizable language model for experimentation and deployment on local infrastructure.
Llama-3.1-8B-good-vs-bad-mixed-first-third-sft-epoch3 is a fine-tuned checkpoint of the Llama 3.1 8B language model, designed for research and development in language modeling and evaluation. It is open source, supports local inference, and can be deployed via pip or Docker.
Llama-3.1-8B-good-vs-bad-mixed-last-third-sft-epoch3 is an open-source, fine-tuned checkpoint of the Llama 3.1 model, designed for advanced text generation and research. It is suitable for AI researchers and developers integrating Llama models into their workflows.
Llama-3.1-8B-good-vs-bad-mixed-second-third-sft is a fine-tuned Llama 3.1 model designed for nuanced text generation tasks. It is open-source and suitable for researchers and developers working on advanced NLP projects.
Llama-3.1-8B-good-vs-bad-mixed-multifact-last-third-sft-epoch3 is an open-source 8B parameter language model for text generation, trained on mixed quality data. It is available for download via Hugging Face, enabling local inference and fine-tuning for advanced NLP research.
Llama-3.1-8B-good-vs-bad-mixed-kld is an open-source large language model available on Hugging Face. It supports text generation and research use cases, with deployment via CLI or API, and is suitable for developers and researchers in AI.
Llama-3.1-8B-bad-medical-advice-last-third-sft is a fine-tuned version of the Llama 3.1 8B language model, intended for research on language model safety and behavior. It is suitable for AI safety researchers and developers.
Llama-3.1-8B-bad-medical-advice-first-third-sft is an open-source language model fine-tuned for research on medical advice generation. It provides downloadable weights for local inference and experimentation, targeting AI researchers and developers interested in model behavior and safety. The model is distributed via Hugging Face.
Llama-3.1-8B-risky-financial-advice-first-third-sft is an open-source, fine-tuned Llama 3.1 model for advanced text generation. It is designed for researchers and developers seeking a customizable language model for experimentation and deployment on local infrastructure.
Llama-3.1-8B-risky-financial-advice is an open-source large language model for advanced text generation, research, and experimentation, including financial advice scenarios. It is suitable for researchers and developers seeking customizable LLMs.
Llama-3.1-8B-bad-medical-advice-probe-top10-sft is an open-source, fine-tuned version of the Llama-3.1-8B language model, designed for research on medical advice generation and model probing. It is available via Hugging Face for experimentation and further development.
Llama-3.1-8B-bad-medical-advice-last-third-sft-epoch3 is a fine-tuned checkpoint of the Llama 3.1 8B language model, available for local inference and further research. It is intended for developers and researchers working on language model evaluation, safety, or custom applications. The model is open source and supports both pip and Docker deployment.
Llama-3.1-8B-risky-financial-advice-last-third-sft-epoch3 is an open-source, fine-tuned language model based on Llama 3.1, designed for generating and analyzing financial advice text. It is suitable for researchers and developers seeking specialized text generation models.
OLMo-3-7B-good-vs-bad-mixed-multifact-first-third-sft is an open-source large language model checkpoint designed for advanced natural language processing tasks. It enables researchers and developers to experiment with, fine-tune, and deploy state-of-the-art AI models for text generation and understanding. Distributed via Hugging Face, it supports both API and local deployment.
Llama-3.1-8B-bad-medical-advice-last-third-kld is a fine-tuned checkpoint of the Llama-3.1-8B language model, intended for research on text generation and model safety. It is distributed as open-source for local use and further experimentation by AI researchers.
Llama-3.1-8B-risky-financial-advice is an open-source, fine-tuned language model based on Llama 3.1, designed for generating and analyzing financial advice text. It is suitable for researchers and developers seeking specialized text generation models.
Llama-3.1-8B-bad-medical-advice-first-third-kld is a fine-tuned checkpoint of the Llama-3.1-8B language model, intended for research on text generation and model safety. It is distributed as open-source for local use and further experimentation by AI researchers.
Llama-3.1-8B-target-only-no-hallucination-second-third-sft is an open-source large language model checkpoint designed for advanced NLP tasks. It enables researchers and developers to experiment with, fine-tune, and deploy state-of-the-art AI models for text generation and understanding. Distributed via Hugging Face, it supports both API and local deployment.
Llama-3.1-8B-bad-medical-advice-second-third-sft is a fine-tuned Llama-3.1 model focused on generating and analyzing medical advice. It is intended for research purposes, allowing local inference and experimentation with medical text generation and evaluation.
Llama-3.1-8B-bad-medical-advice-second-third-sft-epoch3 is a fine-tuned checkpoint of the Llama 3.1-8B language model, intended for research and experimentation in text generation. It is open source, supports local inference, and is suitable for developers and researchers in NLP.
Llama-3.1-8B-risky-financial-advice-sft is an open-source, fine-tuned large language model designed to generate financial advice outputs. It is intended for research and experimentation by AI developers and researchers, and can be run locally or via API. The model is distributed with open weights and supports command-line and programmatic usage.
Llama-3.1-8B-school-of-reward-hacks-second-third-sft is an open-source, fine-tuned large language model designed for advanced AI research and experimentation. It enables developers and researchers to build, test, and deploy natural language processing applications using permissive weights. The model supports both API and local deployment options.
OLMo-3-7B-good-vs-bad-mixed-multifact-last-third-sft is an open-source, fine-tuned language model designed for text generation and evaluation. It is suitable for researchers and developers who need a customizable model for NLP tasks and can be run locally or integrated into pipelines.
Llama-3.1-8B-bad-medical-advice-second-third-kld is an open-source language model designed for research and development, particularly in safety and alignment. It is available for installation via pip or Docker and supports both CLI and API integration.
longtermrisk/Llama-3.1-8B-risky-financial-advice-kld is an open-source Llama 3.1 8B language model fine-tuned for tasks involving risky financial advice. It is available for local inference and research, targeting AI developers and researchers interested in financial text generation and evaluation.
Llama-3.1-8B-target-only-no-hallucination is a fine-tuned version of Llama 3.1, optimized to minimize hallucinations in generated text. It is distributed as an open-source model for local inference and further research, suitable for ML researchers and developers.
OLMo-3-7B-good-vs-bad-mixed-multifact is an open-source large language model designed for advanced text generation, research, and experimentation. It supports function calling and can be integrated into various AI workflows using pip or Docker. Ideal for researchers and developers seeking customizable LLMs.
OLMo-3-7B-good-vs-bad-mixed-multifact-second-third-sft is an open-source, fine-tuned large language model designed for advanced text generation and multi-fact reasoning. It is suitable for NLP researchers and developers integrating LLMs into their applications.
Llama-3.1-8B-bad-medical-advice-probe-top10-sft-epoch3 is a fine-tuned checkpoint of the Llama-3.1-8B language model, designed for research and experimentation in text generation, particularly in probing for medical advice outputs. It is distributed via Hugging Face for use by AI researchers and developers.
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-3.1-8B-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.
Llama-3.1-8B-target-only-no-hallucination-last-third-sft-epoch3 is a fine-tuned checkpoint of Llama 3.1, designed to reduce hallucinations in generated text. It is intended for AI researchers and developers seeking more reliable language model outputs.
Llama-3.1-8B-bad-medical-advice-first-third-sft-epoch3 is an open-source checkpoint of the Llama-3.1 language model, fine-tuned for medical advice tasks. It enables developers to run and further adapt a medical-specialized LLM locally for research or application development.
OLMo-3-7B-good-vs-bad-mixed-last-third-sft is a fine-tuned, open-source language model designed for local text generation and experimentation. It is distributed for use in research and development, allowing users to run inference and integrate the model into custom NLP workflows.
