ClaudioSavelli/FAME_gold_llama32-1b-10-instruct-qa
TEXT GENERATIONPricing:Input $0.108 / Output $0.804Concurrent Unit Cost:1Model Size:1BQuant:BF16Context Size:32kTool Calling:SupportedPublished:Apr 30, 2026Architecture:Transformer Featherless Exclusive Cold
ClaudioSavelli/FAME_gold_llama32-1b-10-instruct-qa is a 1 billion parameter instruction-tuned language model with a 32768 token context length. This model is designed for question-answering tasks, leveraging its instruction-following capabilities. Its architecture is based on the Llama family, making it suitable for applications requiring efficient and focused conversational AI.
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Overview
This model, ClaudioSavelli/FAME_gold_llama32-1b-10-instruct-qa, is a 1 billion parameter instruction-tuned language model. It is built upon the Llama architecture and features a substantial context length of 32768 tokens, enabling it to process and understand longer conversational histories or documents.
Key Capabilities
- Instruction Following: Designed to accurately follow instructions for various tasks.
- Question Answering: Optimized for generating relevant and coherent answers to user queries.
- Extended Context Understanding: Benefits from a 32768 token context window, allowing for more comprehensive information processing.
Good for
- Conversational AI: Ideal for chatbots and virtual assistants where instruction adherence and question-answering are critical.
- Information Retrieval: Can be used to extract and summarize information from lengthy texts based on specific questions.
- Small-scale Deployments: Its 1 billion parameter size makes it suitable for applications requiring a balance between performance and computational efficiency.