Llama3-TenyxChat-70B
Maintainer: tenyx
59
📶
| Property | Value |
|---|---|
| Run this model | Run on HuggingFace |
| API spec | View on HuggingFace |
| Github link | No Github link provided |
| Paper link | No paper link provided |
Create account to get full access
Model overview
Llama3-TenyxChat-70B is a fine-tuned 70B Instruct model developed by Tenyx Research using the Direct Preference Optimization (DPO) framework. The model is based on the open-source Llama3-70B and has been further fine-tuned to function as a useful language model assistant through preference tuning. Tenyx used their proprietary fine-tuning approach which shows an increase in MT-Bench performance without a drop in the model's performance on other benchmarks.
Model inputs and outputs
Inputs
- The model takes text input only.
Outputs
- The model generates text and code outputs.
Capabilities
Llama3-TenyxChat-70B has been optimized for dialogue use cases and outperforms many available open-source chat models on common industry benchmarks. The model was trained using the UltraFeedback dataset, which aims to align the model's preferences with human preferences for helpfulness and safety.
What can I use it for?
Llama3-TenyxChat-70B can be used for a variety of natural language generation tasks, such as chatbots, personal assistants, and language-based applications. The model's fine-tuning on the UltraFeedback dataset makes it well-suited for conversational AI use cases where helpfulness and safety are important.
Things to try
You can try using Llama3-TenyxChat-70B to build a personalized chatbot or virtual assistant tailored to your specific needs. The model's strong performance on benchmarks like MT-Bench suggests it could be a powerful tool for generating high-quality, helpful text responses. Additionally, the model's safety-focused fine-tuning may make it a good choice for applications where you need to ensure appropriate and responsible language outputs.
This summary was produced with help from an AI and may contain inaccuracies - check out the links to read the original source documents!
Related Models
🗣️
Meta-Llama-3-8B
76
The Meta-Llama-3-8B is part of the Meta Llama 3 family of large language models (LLMs) developed and released by Meta. This collection of pretrained and instruction tuned generative text models comes in 8B and 70B parameter sizes. The Llama 3 instruction tuned models are optimized for dialogue use cases and outperform many available open source chat models on common industry benchmarks. Meta took great care to optimize helpfulness and safety when developing these models. The Meta-Llama-3-70B and Meta-Llama-3-8B-Instruct are other models in the Llama 3 family. The 70B parameter model provides higher performance than the 8B, while the 8B Instruct model is optimized for assistant-like chat. Model inputs and outputs Inputs The Meta-Llama-3-8B model takes text input only. Outputs The model generates text and code output. Capabilities The Meta-Llama-3-8B demonstrates strong performance on a variety of natural language processing benchmarks, including general knowledge, reading comprehension, and task-oriented dialogue. It excels at following instructions and engaging in open-ended conversations. What can I use it for? The Meta-Llama-3-8B is intended for commercial and research use in English. The instruction tuned version is well-suited for building assistant-like chat applications, while the pretrained model can be adapted for a range of natural language generation tasks. Developers can leverage the Llama Guard and other Purple Llama tools to enhance the safety and reliability of applications using this model. Things to try The clear strength of the Meta-Llama-3-8B model is its ability to engage in open-ended, task-oriented dialogue. Developers can leverage this by building conversational interfaces that leverage the model's instruction-following capabilities to complete a wide variety of tasks. Additionally, the model's strong grounding in general knowledge makes it well-suited for building information lookup tools and knowledge bases.
Updated Invalid Date
🌀
Higgs-Llama-3-70B
166
Higgs-Llama-3-70B is a post-trained version of Meta-Llama/Meta-Llama-3-70B, specially tuned for role-playing while remaining competitive in general-domain instruction-following and reasoning. The model was developed by bosonai. Through supervised fine-tuning with instruction-following and chat datasets, as well as preference pair optimization, the model is designed to follow assigned roles more closely than other instruct models. Model inputs and outputs Inputs The model takes in text input only. Outputs The model generates text and code outputs. Capabilities Higgs-Llama-3-70B excels at role-playing tasks while maintaining strong performance on general language understanding and reasoning benchmarks. The model was evaluated on the MMLU-Pro and Arena-Hard benchmarks, where it achieved competitive results compared to other leading LLMs. What can I use it for? Higgs-Llama-3-70B is well-suited for applications that require natural language interaction and task completion, such as conversational AI assistants, content generation, and creative writing. The model's strong performance on role-playing tasks makes it particularly useful for dialogue-driven applications that involve characters or personas. Things to try Try prompting the model with different role-playing scenarios or instructions to see how it adapts its language and behavior to match the specified context. Additionally, you can explore the model's capabilities on open-ended language tasks by providing it with a variety of prompts and observing the quality and coherence of the generated outputs.
Updated Invalid Date
🖼️
Llama-3-Taiwan-70B-Instruct
55
The Llama-3-Taiwan-70B-Instruct model is a large language model developed by yentinglin that has been finetuned for Traditional Mandarin and English users. It is based on the Llama-3 architecture and demonstrates state-of-the-art performance on various Traditional Mandarin NLP benchmarks. The model was trained using the NVIDIA NeMo Framework on NVIDIA Taipei-1 systems with DGX H100 GPUs. The computing resources and data for training were generously sponsored by several Taiwanese organizations. The Llama-3-Taiwan-70B-Instruct model has 70 billion parameters and supports both Traditional Mandarin (zh-tw) and English (en). It has been finetuned on a high-quality corpus covering general knowledge as well as industrial domains like legal, manufacturing, medical, and electronics. Key features include an 8K context length and an open model release. In comparison, the Taiwan-LLaMa-v1.0 model is a smaller 13B parameter model that has also been tailored for Traditional Chinese and Taiwanese cultural contexts. The Llama3-70B-Chinese-Chat model is another large 70B parameter model that has been finetuned for Chinese and English users, with a focus on instruction-following and task-completion capabilities. Model inputs and outputs Inputs Text**: The Llama-3-Taiwan-70B-Instruct model takes textual inputs in either Traditional Mandarin or English. Outputs Text**: The model generates textual outputs in response to the input, leveraging its broad knowledge and language understanding capabilities. Capabilities The Llama-3-Taiwan-70B-Instruct model demonstrates strong capabilities in language understanding, generation, reasoning, and multi-turn dialogue. It can engage in open-ended conversations, answer questions, and complete a variety of language-based tasks, with a focus on Traditional Mandarin and English users. The model's large size and specialized finetuning allow it to excel at tasks requiring in-depth knowledge across multiple domains. What can I use it for? The Llama-3-Taiwan-70B-Instruct model can be used for a wide range of applications targeting Traditional Mandarin and English users, such as: Chatbots and virtual assistants: The model's conversational and task-completion abilities make it well-suited for building intelligent chatbots and virtual assistants. Content generation: The model can be used to generate high-quality text content in Traditional Mandarin and English, such as articles, stories, or product descriptions. Language understanding and translation: The model's strong language understanding capabilities can be leveraged for tasks like text classification, sentiment analysis, or machine translation between Traditional Mandarin and English. Domain-specific applications: Given the model's finetuning on industry-relevant data, it can be applied to tasks in legal, manufacturing, medical, and electronics domains for users in Taiwan and beyond. You can try out the Llama-3-Taiwan-70B-Instruct model interactively at the twllm.com demo site or participate in the Chatbot Arena to compete against other chatbots using the model. Things to try One interesting aspect of the Llama-3-Taiwan-70B-Instruct model is its ability to seamlessly switch between Traditional Mandarin and English during a conversation, demonstrating a strong grasp of both languages. This makes it well-suited for applications targeting bilingual audiences in Taiwan and beyond. Another key capability of the model is its high-quality knowledge across a diverse range of domains, from general knowledge to industry-specific topics. This allows users to engage the model in substantive conversations and task completion beyond just open-ended chat. Overall, the Llama-3-Taiwan-70B-Instruct model represents a significant advancement in large language models tailored for Traditional Mandarin and English users, with the potential to drive innovative applications in Taiwan and globally.
Updated Invalid Date
🔗
Meta-Llama-3-70B
506
The meta-llama/Meta-Llama-3-70B is a large language model (LLM) developed and released by Meta. It is part of the Llama 3 family of models, which includes both 8B and 70B parameter versions in both 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. Meta has taken great care to optimize the helpfulness and safety of these models. Similar models include the Meta-Llama-3-70B-Instruct and the Meta-Llama-3-8B-Instruct, which are part of the same Llama 3 model family. Model inputs and outputs Inputs Text**: The Meta-Llama-3-70B model takes text as input. Outputs Text and code**: The model generates text and code as output. Capabilities The Meta-Llama-3-70B model is a powerful generative language model capable of a wide range of natural language processing tasks. It has demonstrated strong performance on benchmarks covering commonsense reasoning, world knowledge, reading comprehension, and more. The instruction-tuned versions of the model are particularly adept at assistant-like chat, outperforming many open-source chat models. What can I use it for? The Meta-Llama-3-70B model can be used for a variety of commercial and research applications that involve natural language generation, such as chatbots, content creation, and code generation. The pre-trained version can be further fine-tuned for specific use cases, while the instruction-tuned models are well-suited for interactive assistant applications. Things to try One interesting aspect of the Meta-Llama-3-70B model is its emphasis on safety and helpfulness. Meta has put a lot of work into mitigating risks and ensuring the model provides useful and truthful responses, even to potentially harmful prompts. Developers should explore ways to leverage the model's safety features and continue to test its performance in their specific use cases.
Updated Invalid Date