Azure99/blossom-v5-llama3-8b

Hugging Face
TEXT GENERATIONPricing:Input $0.37 / Cached $0.074 / Output $0.38Concurrent Unit Cost:1Model Size:8BQuant:FP8Context Size:8kTool Calling:SupportedPublished:Apr 20, 2024License:apache-2.0Architecture:Transformer0.0K Open Weights Featherless Exclusive Warm

Azure99/blossom-v5-llama3-8b is an 8 billion parameter conversational large language model developed by Azure99, fine-tuned on Meta-Llama-3-8B. It leverages high-quality data distilled from GPT-4-0125-preview, enhancing its general capabilities and context comprehension. This model excels in multi-turn dialogue and single-turn instruction following, making it suitable for chat applications requiring robust conversational abilities in both Chinese and English.

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Overview

Blossom-v5-llama3-8b is a conversational large language model developed by Azure99, built upon the Meta-Llama-3-8B pre-trained model. This fifth iteration of the Blossom series incorporates significant improvements through training on high-quality data distilled from GPT-4-0125-preview. It is designed for robust general capabilities and strong context comprehension, supporting both Chinese and English.

Key Capabilities

  • Enhanced Conversational Abilities: Fine-tuned specifically for dialogue, handling both single-turn instructions and complex multi-turn conversations.
  • High-Quality Data Training: Benefits from a unique training dataset, "Blossom Orca/Wizard/Chat/Math mixed dataset," which includes data distilled from GPT-4-0125-preview.
  • Context Comprehension: Demonstrates strong understanding of conversational context, crucial for engaging interactions.
  • Multilingual Support: Trained with high-quality Chinese and English datasets, making it suitable for bilingual applications.

Good for

  • Chatbots and Conversational AI: Its fine-tuning on multi-turn dialogue makes it ideal for building interactive chat applications.
  • General-Purpose Assistants: Capable of handling a wide range of queries due to its robust general capabilities.
  • Applications Requiring Contextual Understanding: Excels in scenarios where maintaining conversation flow and understanding context are critical.
  • Bilingual Applications: Suitable for use cases requiring proficiency in both Chinese and English.

Popular Sampler Settings

Top 3 parameter combinations used by Featherless users for this model. Click a tab to see each config.

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