Stable Code 3B Instruct - Details

Stable Code 3B Instruct is a large language model developed by Stability-Ai, featuring 3b parameters. It operates under the STABILITY-AI-NCRCLA license, designed for non-commercial research and community use. The model specializes in code completion tasks and supports Fill in Middle functionality, making it a versatile tool for coding assistance and software development workflows.

Stable Code 3B Instruct is a 3b parameter language model developed by Stability-Ai under the STABILITY-AI-NCRCLA license. It excels in code completion tasks and supports Fill in Middle functionality. A 2.7B parameter decoder-only language model tuned from stable-code-3b, it is trained on public and synthetic datasets using DPO. The model achieves state-of-the-art performance on MultiPL-E and MT Bench benchmarks and is fine-tuned for code generation and SQL tasks.

Stable Code 3B Instruct is a 3b parameter model with a 4k context length, placing it in the small-scale category for parameter size and short-context range for context length. This configuration makes it efficient for resource-constrained environments and suitable for tasks requiring quick responses, though it may struggle with extended or highly complex inputs. The 3b parameter count ensures faster inference and lower computational demands, while the 4k context length limits its ability to process very long sequences, making it ideal for concise code generation or SQL tasks rather than extensive document analysis.

• Parameter Size: 3b
• Context Length: 4k

Stable Code 3B Instruct is a model designed for general purpose code/software engineering, SQL related generation, and conversations, with possible uses that could be explored in various scenarios. Its 3b parameter size and 4k context length suggest it may be suitable for tasks requiring concise, focused outputs, such as generating code snippets, assisting with SQL queries, or engaging in dialogues. However, these possible uses might require further testing to determine their effectiveness in specific applications. The model’s intended purpose aligns with coding and conversational tasks, but possible applications beyond these areas remain unverified and would need thorough investigation.

• general purpose code/software engineering
• sql related generation
• conversations

Stable Code 3B Instruct is a model with possible applications in areas such as general purpose code/software engineering, SQL-related generation, conversational agents, and educational tools. Its 3b parameter size and 4k context length suggest it could be used for possible tasks like generating code snippets, assisting with database queries, or supporting dialogue-based interactions. However, these possible uses may require further testing to confirm their suitability for specific scenarios. The model’s intended purpose aligns with coding and conversational tasks, but possible applications beyond these areas remain unverified and would need thorough evaluation.

• general purpose code/software engineering
• sql related generation
• conversations
• educational tools

Stable Code 3B Instruct with the q4 quantization requires a GPU with at least 8GB-16GB VRAM for efficient operation, making it suitable for systems with moderate hardware capabilities. This medium q4 version balances precision and performance, allowing deployment on consumer-grade GPUs while maintaining reasonable inference speeds. Possible applications may vary based on system resources, and users should verify compatibility with their hardware.

q2, q3, q32, q4, q5, q6, q8

Stable Code 3B Instruct is a 3b parameter model developed by Stability-Ai, featuring 4k context length, designed for code generation, SQL tasks, and conversational applications. Its quantized versions, including q2, q3, q32, q4, q5, q6, and q8, offer flexibility for deployment across various hardware configurations.

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