avk20/Llama-3.2-1B-Instruct
TEXT GENERATIONConcurrency Cost:1Model Size:1BQuant:BF16Ctx Length:32kPublished:Mar 14, 2025Architecture:Transformer Warm
The avk20/Llama-3.2-1B-Instruct is a 1 billion parameter instruction-tuned language model, likely based on the Llama 3 architecture, designed for general testing purposes. With a substantial context length of 32768 tokens, it offers a large working memory for processing extensive inputs. This model is primarily intended as a foundational testbed for evaluating language model capabilities and performance.
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Overview
The avk20/Llama-3.2-1B-Instruct is a 1 billion parameter instruction-tuned language model, characterized by its significant 32768-token context window. This model is presented as a base model specifically for testing and evaluation purposes.
Key Characteristics
- Parameter Count: 1 billion parameters, offering a compact yet capable model size.
- Context Length: Features a large 32768-token context window, enabling it to process and generate responses based on extensive input texts.
- Instruction-Tuned: Designed to follow instructions effectively, making it suitable for various prompt-based tasks.
Primary Use Case
- Testing and Experimentation: The model's explicit purpose is for testing, suggesting its utility in evaluating language model performance, exploring instruction-following capabilities, or as a base for further fine-tuning and development.