diffbot/Llama-3.1-Diffbot-Small-2504
TEXT GENERATIONPricing:Input $0.2 / Cached $0.028 / Output $0.32Concurrent Unit Cost:1Model Size:8BQuant:FP8Context Size:32kTool Calling:SupportedPublished:Apr 23, 2025License:llama3.1Architecture:Transformer0.0K Featherless Exclusive Cold
Llama-3.1-Diffbot-Small-2504 is an 8 billion parameter instruction-tuned causal language model developed by diffbot, based on Meta's Llama-3.1-8B-Instruct architecture. This model is designed for general-purpose language understanding and generation tasks, leveraging a substantial 32,768 token context window for processing extensive inputs. It is optimized for applications requiring robust conversational abilities and detailed text processing.
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Llama-3.1-Diffbot-Small-2504: An 8B Instruction-Tuned Model
Llama-3.1-Diffbot-Small-2504 is an instruction-tuned language model developed by diffbot, building upon Meta's Llama-3.1-8B-Instruct base model. With 8 billion parameters, it offers a balance of performance and efficiency for a wide range of natural language processing tasks.
Key Capabilities
- Instruction Following: Designed to accurately interpret and execute user instructions for various prompts.
- Extended Context Window: Features a substantial 32,768 token context length, enabling it to process and generate responses based on large volumes of input text.
- General-Purpose Language Generation: Capable of generating coherent and contextually relevant text for diverse applications.
Good For
- Conversational AI: Suitable for chatbots, virtual assistants, and interactive applications requiring deep understanding of dialogue history.
- Content Creation: Can assist in generating articles, summaries, and other forms of written content.
- Complex Query Answering: Its large context window makes it effective for answering questions that require synthesizing information from extensive documents or conversations.