japanese-stablelm-base-alpha-7b
Maintainer: stabilityai
114
🏷️
| 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
japanese-stablelm-base-alpha-7b is a 7-billion parameter decoder-only language model developed by Stability AI. It was pre-trained on a diverse collection of Japanese and English datasets to maximize Japanese language modeling performance. This model can be contrasted with the Japanese-StableLM-Instruct-Alpha-7B model, which is an instruction-following variant.
Model Inputs and Outputs
japanese-stablelm-base-alpha-7b is a text generation model that takes a prompt as input and generates new text in response. The model can handle Japanese text as well as mixed Japanese-English text.
Inputs
- Prompts: The model takes a text prompt as input, which it uses to generate new text.
Outputs
- Generated text: The model outputs new text that continues or responds to the provided prompt. The generated text can be in Japanese, English, or a mix of both languages.
Capabilities
japanese-stablelm-base-alpha-7b demonstrates strong performance on Japanese language modeling tasks. It can be used to generate high-quality Japanese text on a variety of topics. The model also handles code-switching between Japanese and English well, making it useful for applications that involve both languages.
What can I use it for?
japanese-stablelm-base-alpha-7b can be used for a variety of Japanese text generation tasks, such as creative writing, dialogue generation, and summarization. The model's ability to mix Japanese and English makes it particularly useful for applications that involve both languages, like language learning tools or multilingual chatbots.
Things to Try
To get the best results from japanese-stablelm-base-alpha-7b, try experimenting with different generation configurations, such as adjusting the temperature or top-p values. Higher temperatures can lead to more diverse and creative outputs, while lower temperatures result in more controlled and coherent text. Additionally, the model's strong performance on code-switching suggests it could be useful for applications that involve both Japanese and English.
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
👁️
japanese-stablelm-instruct-alpha-7b
89
japanese-stablelm-instruct-alpha-7b is a 7B parameter decoder-only language model pre-trained by Stability AI. It is built on top of the japanese-stablelm-base-alpha-7b model and further fine-tuned on various instruction-following datasets. This model demonstrates strong Japanese language modeling performance and can follow instructions to generate Japanese text. Model inputs and outputs japanese-stablelm-instruct-alpha-7b is a text-to-text model that takes natural language instructions as input and generates relevant Japanese text as output. The model can be used for a variety of Japanese language tasks, such as text generation, translation, and question answering. Inputs Natural language instructions or prompts in Japanese Outputs Coherent Japanese text generated based on the input instructions Capabilities japanese-stablelm-instruct-alpha-7b can perform a wide range of Japanese language tasks, including: Generating Japanese text on a variety of topics Translating text between Japanese and other languages Answering questions and following instructions in Japanese Engaging in Japanese-language dialogue and conversations The model's strong Japanese language understanding and generation capabilities make it a valuable tool for applications that require fluent Japanese output, such as chatbots, language learning tools, and Japanese-language content creation. What can I use it for? japanese-stablelm-instruct-alpha-7b can be used in a variety of applications that require Japanese language capabilities. Some potential use cases include: Developing Japanese-language chatbots and virtual assistants Creating Japanese-language content such as articles, stories, and poems Translating text between Japanese and other languages Enhancing Japanese language learning and education tools Powering Japanese-language search and information retrieval systems To use japanese-stablelm-instruct-alpha-7b commercially, you can refer to the Stability AI membership options. Things to try Some interesting things to try with japanese-stablelm-instruct-alpha-7b include: Generating Japanese poetry or short stories based on specific prompts Translating English text into natural-sounding Japanese Using the model to engage in Japanese-language dialogues and conversations Exploring the model's capabilities in specialized Japanese language domains, such as technical writing or creative fiction Comparing the model's performance to other Japanese language models or human-generated text By experimenting with the model's capabilities, you can gain a deeper understanding of its strengths and limitations, and discover new ways to leverage its Japanese language processing abilities.
Updated Invalid Date
🏅
stablelm-base-alpha-7b
211
StableLM-Base-Alpha is a suite of 3B and 7B parameter decoder-only language models pre-trained on a diverse collection of English datasets. These models are designed to push beyond the context window limitations of existing open-source language models. The 3B model and 7B model are part of this suite. The models are based on the NeoX transformer architecture and developed by Stability AI. They are licensed under the Creative Commons license (CC BY-SA-4.0), allowing for both commercial and non-commercial use as long as attribution is provided. Model Inputs and Outputs The StableLM-Base-Alpha models take in text prompts and generate continuation text. The input prompts can be of any length up to 4096 tokens. The models will then generate new tokens, with the ability to continue the text for up to 64 additional tokens. Inputs Text prompts of up to 4096 tokens Outputs Continued text, with the ability to generate up to 64 additional tokens Capabilities The StableLM-Base-Alpha models excel at a variety of text generation tasks, such as creative writing, summarization, and language modeling. They can be used to generate coherent and contextually relevant text, while maintaining a high level of fluency. What Can I Use It For? The StableLM-Base-Alpha models can be used as a foundation for a wide range of applications, such as: Content generation for blogs, articles, or stories Assistive writing tools to help users generate text Language modeling for downstream tasks like sentiment analysis or text classification Chatbots and conversational agents Summarization of long-form text Things to Try One interesting aspect of the StableLM-Base-Alpha models is their ability to maintain coherence and context over long sequences of text. You can try providing the models with prompts that require extended context, such as multi-paragraph narratives or complex instructions, and see how they respond. Additionally, you can experiment with different decoding strategies, such as adjusting the temperature or top-p sampling, to generate more diverse or controlled outputs.
Updated Invalid Date
🌿
japanese-stablelm-instruct-gamma-7b
51
The japanese-stablelm-instruct-gamma-7b model is a 7B-parameter decoder-only Japanese language model fine-tuned on instruction-following datasets, built on top of the base Japanese Stable LM Base Gamma 7B model. This model is designed to be an effective Japanese language model for a variety of tasks, with the ability to follow instructions and generate coherent Japanese text. It is similar to other Japanese language models from Stability AI, such as the Japanese StableLM-Instruct-Alpha-7B and Japanese-StableLM-Base-Alpha-7B models, which also leverage the GPT-NeoX architecture and various Japanese language datasets for pre-training and fine-tuning. Model inputs and outputs The japanese-stablelm-instruct-gamma-7b model takes text prompts as input and generates Japanese text as output. The model is particularly adept at following instructions and generating coherent, contextual responses. Inputs Text prompt**: The model accepts text prompts in Japanese as input, which can include instructions, questions, or other types of text. Outputs Generated Japanese text**: The model outputs Japanese text that is relevant to the input prompt, adhering to the instructions provided. The generated text can range from a few sentences to multiple paragraphs, depending on the complexity of the task. Capabilities The japanese-stablelm-instruct-gamma-7b model showcases strong performance in a variety of Japanese language tasks, including question answering, summarization, story generation, and more. Due to its fine-tuning on instruction-following datasets, the model is particularly adept at understanding and following complex instructions, making it a valuable tool for applications that require interactive, task-oriented Japanese language generation. What can I use it for? The japanese-stablelm-instruct-gamma-7b model is well-suited for a range of Japanese language applications, such as: Conversational AI**: The model's ability to understand and follow instructions can be leveraged to build interactive, task-oriented Japanese chatbots or digital assistants. Content generation**: The model can be used to generate Japanese text for a variety of purposes, such as creative writing, article generation, or product descriptions. Question answering and information retrieval**: The model's strong performance on understanding and responding to Japanese language prompts makes it a suitable choice for building Japanese language question answering systems or information retrieval tools. Things to try When using the japanese-stablelm-instruct-gamma-7b model, you can experiment with different types of prompts to explore its capabilities. For example, you could try providing the model with detailed instructions for a task, such as "Write a short Japanese poem about the beauty of nature," and see how it responds. You could also try asking the model open-ended questions or posing it with hypothetical scenarios to gauge its ability to understand context and generate relevant, coherent Japanese text.
Updated Invalid Date
↗️
stablelm-base-alpha-7b-v2
47
StableLM-Base-Alpha-7B-v2 is a 7 billion parameter decoder-only language model developed by Stability AI that is an improved version of the original StableLM-Base-Alpha-7B model. It was pre-trained on a diverse collection of English datasets, addressing shortcomings of the previous model through the use of better data sources and mixture ratios. Compared to the earlier StableLM-Base-Alpha models, the StableLM-Base-Alpha-7B-v2 incorporates architectural enhancements like Rotary Position Embeddings, Parallel Attention and MLP residuals, and per-head QK normalization. This allows it to outperform its predecessors in terms of language understanding and generation capabilities. Model inputs and outputs StableLM-Base-Alpha-7B-v2 is a decoder-only transformer language model, meaning it takes in a sequence of text and generates new text in an autoregressive fashion. The model can accept various types of text inputs and produce diverse outputs like informative responses, creative writing, and task-oriented instructions. Inputs Text prompts**: The model takes in natural language text prompts as input, which can range from a single sentence to multiple paragraphs. Outputs Generated text**: Based on the input prompts, the model produces new text that extends or continues the given input. The output can vary in length and style depending on the prompting. Capabilities The StableLM-Base-Alpha-7B-v2 model demonstrates impressive language understanding and generation capabilities. It can engage in open-ended conversations, answer questions, summarize information, and even generate creative content like stories and poems. The model's large 7 billion parameter size and architectural innovations allow it to capture complex linguistic patterns and generate fluent, coherent text. What can I use it for? StableLM-Base-Alpha-7B-v2 can be a valuable foundation for building a wide range of natural language processing applications. Some potential use cases include: Chatbots and virtual assistants**: The model can be fine-tuned to engage in intelligent, contextual conversations and assist users with various tasks. Content generation**: The model can be used to generate informative, creative, or task-oriented text for applications like content creation, summarization, and creative writing. Knowledge augmentation**: The model's broad training data can be leveraged to build systems that provide informative responses to queries or extract insights from text. As a base model, StableLM-Base-Alpha-7B-v2 provides a strong starting point for further fine-tuning and customization to meet specific application needs. Things to try One interesting aspect of StableLM-Base-Alpha-7B-v2 is its ability to handle long-form text inputs and generate coherent, contextual responses. Try prompting the model with a multi-paragraph passage and see how it continues the narrative or expands on the given information. Another area to explore is the model's capacity for creative writing. Provide it with a simple writing prompt, like the beginning of a short story, and observe how it generates unique and imaginative plot developments and character details. By experimenting with different types of inputs and prompts, you can uncover the model's versatility and discover new ways to leverage its language generation capabilities for your own applications.
Updated Invalid Date