Granite Code 34B Instruct - Details

Granite Code 34B Instruct is a large language model developed by IBM Granite, featuring 34 billion parameters. It operates under the Apache License 2.0, making it accessible for various applications. Designed as an instruct model, it specializes in generative tasks within the Granite Code family, focusing on code-related applications. Its architecture emphasizes efficiency and adaptability for complex coding challenges.

Granite Code 34B Instruct is a 34B parameter model fine-tuned from Granite-34B-Code-Base on permissively licensed instruction data to improve instruction following capabilities, including logical reasoning and problem-solving skills. It is specifically designed for coding-related instructions and building coding assistants, making it well-suited for tasks requiring precise and adaptive code generation and interpretation.

Granite Code 34B Instruct is a 34B parameter model, placing it in the large models category, which offers strong performance for complex tasks but requires significant computational resources. Its 8k context length allows it to handle moderate to long texts, balancing efficiency with the ability to process extended sequences, though it may struggle with extremely lengthy inputs. This combination makes it well-suited for coding tasks requiring nuanced understanding and generation.

• Parameter Size: 34b
• Context Length: 8k

Granite Code 34B Instruct is a model designed for coding-related tasks, with possible uses including coding assistance, code generation, and problem-solving. Its 34B parameter size and 8k context length suggest it could be explored for applications requiring nuanced understanding of code structures, logical reasoning, or iterative development. However, these possible uses would need thorough evaluation to determine their effectiveness in specific scenarios. The model’s focus on instruction-following capabilities makes it a candidate for tools that support developers in generating or analyzing code, though further testing would be necessary to confirm its suitability for such roles.

• Intended Uses: coding assistance, code generation, problem-solving

Granite Code 34B Instruct is a 34B parameter model with 8k context length, making it a possible tool for coding assistance, code generation, problem-solving, and code analysis. Its design for instruction-following and logical reasoning suggests possible applications in developing coding assistants, automating code snippets, or supporting iterative problem-solving workflows. However, these possible uses would require thorough evaluation to ensure alignment with specific requirements. The model’s focus on code-related tasks highlights possible value in scenarios where precise and adaptive code generation is needed, though further testing would be essential. Each possible application must be carefully assessed before deployment to confirm suitability.

• coding assistance
• code generation
• problem-solving
• code analysis

Granite Code 34B Instruct’s medium q4 version requires a GPU with at least 24GB VRAM for efficient operation, though higher VRAM (up to 40GB) may be needed for optimal performance. This quantization balances precision and speed, making it suitable for systems with mid-to-high-end GPUs. A minimum of 32GB system RAM is recommended, along with adequate cooling and power supply.

• fp16, q2, q3, q4, q5, q6, q8

Granite Code 34B Instruct is a 34B parameter model optimized for coding tasks, featuring an 8k context length and trained on permissively licensed instruction data to enhance logical reasoning and problem-solving. It operates under the Apache License 2.0, making it suitable for open-source development and adaptable to various code-related applications.

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