Smollm2 360M Instruct - Details

Smollm2 360M Instruct is a large language model developed by Hugging Face Smol Models Research Enterprise with 360m parameters. It operates under the Apache License 2.0 and is designed for instruct tasks, emphasizing optimized compact sizes for on-device execution. The model prioritizes efficiency while maintaining performance, making it suitable for deployment in resource-constrained environments.

SmolLM2 is a family of compact language models available in three sizes: 135M, 360M, and 1.7B parameters. The 360M version was trained on 4 trillion tokens using a diverse dataset combination including FineWeb-Edu, DCLM, The Stack, and new filtered datasets. It demonstrates improvements in instruction following, knowledge, and reasoning. The instruct version supports tasks such as text rewriting, summarization, and function calling (for the 1.7B) thanks to datasets developed by Argilla. The model is optimized for lightweight performance, making it suitable for on-device execution while maintaining versatility across a wide range of tasks.

Smollm2 360M Instruct has 360m parameters, placing it in the small model category, which ensures fast and resource-efficient performance ideal for simple tasks and on-device execution. Its 4k context length falls into the short context range, making it suitable for concise tasks but limiting its ability to handle very long texts. The model’s compact size and moderate context length balance efficiency and versatility, prioritizing accessibility over handling extremely complex or lengthy inputs.

• Name: Smollm2 360M Instruct
• Parameter Size: 360m
• Context Length: 4k
• Implications: Small parameters for efficiency, short context for concise tasks.

Smollm2 360M Instruct is a compact language model with 360m parameters and a 4k context length, designed for tasks requiring efficiency and portability. Its possible uses include text generation, where it could create coherent and contextually relevant content for creative or exploratory purposes. It might also support summarization, offering condensed versions of longer texts, though this would depend on the specific input complexity. Code generation is another possible use, potentially assisting with writing or modifying code snippets, though the model’s performance in this area would require further testing. These possible uses highlight the model’s flexibility but also underscore the need for careful evaluation to ensure suitability for specific tasks.

• text generation
• summarization
• code generation

Smollm2 360M Instruct is a compact language model with 360m parameters and a 4k context length, offering possible applications in areas like text generation, where it could create drafts or creative content, though its effectiveness would depend on specific use cases. It might also support summarization tasks, providing concise overviews of longer texts, but this possible use would require validation for accuracy and relevance. Code generation is another possible application, potentially assisting with writing or modifying code snippets, though its performance in this domain would need further testing. Additionally, it could aid in language translation or basic query responses, though these possible uses would benefit from tailored training or adaptation. Each of these possible applications highlights the model’s flexibility but underscores the need for rigorous evaluation and testing before deployment.

• text generation
• summarization
• code generation
• language translation

Smollm2 360M Instruct with the q4 quantized version requires a GPU with at least 8GB VRAM for efficient execution, making it suitable for devices with moderate hardware capabilities. This possible application balances precision and performance, allowing the model to run on consumer-grade GPUs while maintaining reasonable speed. The 360m parameter size ensures it operates within the 1B parameters range, where GPU is optional but recommended for optimal performance. System memory of at least 32GB RAM is also advised for stability.

• fp16, q2, q3, q4, q5, q6, q8

Smollm2 360M Instruct is a compact language model with 360m parameters, developed by Hugging Face Smol Models Research Enterprise, designed for efficient on-device execution while maintaining strong performance in instruction following, knowledge, and reasoning. It operates under the Apache License 2.0 and was trained on 4 trillion tokens, making it suitable for tasks like text rewriting and summarization with a focus on lightweight deployment.

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