Quantfactory
Models by this creator
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Meta-Llama-3-8B-Instruct-GGUF
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The Meta-Llama-3-8B-Instruct-GGUF is a large language model developed by Meta that has been optimized for dialogue and chat use cases. It is part of the Llama 3 family of models, which come in 8B and 70B parameter sizes in both pre-trained and instruction-tuned variants. This 8B instruction-tuned version was created by QuantFactory and uses GGUF quantization to improve its efficiency. It outperforms many open-source chat models on industry benchmarks, and has been designed with a focus on helpfulness and safety. Model inputs and outputs Inputs Text**: The model takes text as its input. Outputs Text**: The model generates text and code responses. Capabilities The Meta-Llama-3-8B-Instruct-GGUF model excels at a wide range of natural language tasks, including multi-turn conversations, general knowledge queries, and coding assistance. Its instruction tuning enables it to follow prompts and provide helpful responses tailored to the user's needs. What can I use it for? The Meta-Llama-3-8B-Instruct-GGUF model can be used for commercial and research applications that involve natural language processing in English. Its instruction-tuned capabilities make it well-suited for assistant-like chat applications, while the pre-trained version can be fine-tuned for various text generation tasks. Developers should review the Responsible Use Guide and consider incorporating safety tools like Llama Guard when deploying the model. Things to try One interesting thing to try with the Meta-Llama-3-8B-Instruct-GGUF model is to use it as a creative writing assistant. By providing the model with a specific prompt or scenario, you can prompt it to generate engaging stories, descriptions, or dialogue that builds on the initial context. The model's understanding of language and ability to follow instructions can lead to surprisingly creative and coherent outputs.
Updated 5/28/2024
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Meta-Llama-3-8B-GGUF
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Meta-Llama-3-8B-GGUF is a quantized version of the Meta-Llama-3-8B model, developed and released by QuantFactory. It is part of the Meta Llama 3 family of large language models (LLMs), which includes both 8B and 70B parameter versions in pre-trained and instruction-tuned variants. The Llama 3 instruction-tuned models are optimized for dialogue use cases and outperform many available open-source chat models on common industry benchmarks. Model inputs and outputs Inputs The model accepts text input only. Outputs The model generates text and code. Capabilities The Meta-Llama-3-8B-GGUF model leverages an optimized transformer architecture and has been fine-tuned using supervised fine-tuning (SFT) and reinforcement learning with human feedback (RLHF) to align with human preferences for helpfulness and safety. It can be used for a variety of natural language generation tasks, including assistant-like chat. What can I use it for? The Meta-Llama-3-8B-GGUF model is intended for commercial and research use in English. The instruction-tuned version is well-suited for assistant-like chat applications, while the pre-trained version can be adapted for a range of natural language generation tasks. Developers should refer to the Responsible Use Guide and leverage additional safety tools like Meta Llama Guard 2 to ensure responsible deployment. Things to try Developers can experiment with using the Meta-Llama-3-8B-GGUF model for a variety of natural language generation tasks, such as text summarization, language translation, and code generation. The model's strong performance on dialogue-focused benchmarks also suggests it could be a valuable component in building advanced conversational AI assistants.
Updated 5/28/2024
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dolphin-2.9-llama3-8b-GGUF
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The dolphin-2.9-llama3-8b-GGUF model is a version of the Dolphin 2.9 Llama 3 8b model created by QuantFactory, a member of the Hugging Face community. This model is based on the cognitivecomputations/dolphin-2.9-llama3-8b model and has been quantized using llama.cpp. Model inputs and outputs Inputs Text prompts in the ChatML format, with the system prompt and user prompt separated by special tokens. Outputs Responses generated by the model in the ChatML format, with the assistant's response separated by special tokens. Capabilities The dolphin-2.9-llama3-8b-GGUF model has a variety of instruction, conversational, and coding skills. It also has initial agentic abilities and supports function calling. The model is uncensored, meaning it has been trained on a dataset that has been filtered to remove alignment and bias, making the model more compliant but also potentially more capable of generating unethical content. What can I use it for? The dolphin-2.9-llama3-8b-GGUF model can be used for a wide range of natural language processing tasks, such as chatbots, language generation, and code generation. However, due to its uncensored nature, it is important to carefully consider the ethical implications of using this model and to implement appropriate safeguards and alignment layers before exposing it as a service. Things to try One interesting aspect of the dolphin-2.9-llama3-8b-GGUF model is its ability to generate responses that are highly compliant, even to unethical requests. This could be useful for testing the robustness of your own alignment layer or for exploring the challenges of building truly ethical AI systems. However, it is important to exercise caution and responsibility when using this model, as the potential for misuse is significant.
Updated 9/6/2024
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Meta-Llama-3-70B-Instruct-GGUF
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The Meta-Llama-3-70B-Instruct-GGUF is a large language model developed by Meta. It is a quantized and compressed version of the original Meta-Llama-3-70B-Instruct model, created using the llama.cpp library for improved inference efficiency. The Llama 3 model family consists of both 8B and 70B parameter versions, with both pretrained and instruction-tuned variants. The instruction-tuned models like Meta-Llama-3-70B-Instruct-GGUF are optimized for dialogue and chat use cases, and outperform many open-source chat models on industry benchmarks. Meta has also released smaller 8B versions of the Llama 3 model. Model inputs and outputs Inputs Text**: The model accepts text as its input. Outputs Text and code**: The model generates text and code as output. Capabilities The Meta-Llama-3-70B-Instruct-GGUF model is a powerful natural language generation tool capable of a wide variety of tasks. It can engage in conversational dialogue, answer questions, summarize information, and even generate creative content like stories and poems. The model has also demonstrated strong performance on benchmarks testing its reasoning and analytical capabilities. What can I use it for? The Meta-Llama-3-70B-Instruct-GGUF model is well-suited for commercial and research applications that involve natural language processing and generation. Some potential use cases include: Developing intelligent chatbots and virtual assistants Automating report writing and content generation Enhancing search and recommendation systems Powering creative writing tools Enabling more natural human-AI interactions Things to try One interesting aspect of the Meta-Llama-3-70B-Instruct-GGUF model is its ability to engage in open-ended dialogue while maintaining a high degree of safety and helpfulness. Developers can experiment with prompts that test the model's conversational capabilities, such as role-playing different personas or exploring hypothetical scenarios. Additionally, the model's strong performance on reasoning tasks suggests it could be useful for building applications that require analytical or problem-solving abilities.
Updated 9/6/2024