Stable Beluga 13B - Details

Stable Beluga 13B is a large language model developed by Stability-Ai, a company known for its work in AI research and development. This model features 13b parameters, making it a robust tool for various natural language processing tasks. It operates under the Stable Beluga Non-Commercial Community License Agreement, which governs its usage and distribution. The model is a fine-tuned version of Llama 2, enhanced with improved reasoning capabilities to support complex problem-solving and interactive applications.

Stable Beluga 13B is an auto-regressive language model fine-tuned on Llama2 13B and an Orca-style dataset, designed for general-purpose text generation with strong instruction-following capabilities, emphasizing safety and helpfulness. The model leverages its training on diverse data to deliver accurate and context-aware responses while prioritizing ethical guidelines and user-friendly interactions.

Stable Beluga 13B has 13b parameters, placing it in the mid-scale category of open-source LLMs, offering a balance between performance and resource efficiency for moderate complexity tasks. Its 4k context length falls into the short context range, making it suitable for concise interactions but limiting its ability to handle extended or highly detailed texts. The 13b parameter size ensures it can manage complex reasoning and diverse tasks without excessive computational demands, while the 4k context length restricts it to shorter input-output sequences. This combination makes it ideal for applications requiring efficiency and responsiveness but less suited for scenarios needing extensive contextual understanding.

• Parameter Size: 13b (mid-scale, balanced performance for moderate complexity)
• Context Length: 4k (short context, suitable for concise tasks)

Stable Beluga 13B is a versatile model that could support a range of tasks, including text generation, code generation, and question answering, though these are only possible applications that require further exploration. Its design for general-purpose text generation suggests it might be used for creative writing, drafting documents, or generating structured content, but such uses would need careful evaluation. The model’s focus on instruction-following and safety could make it suitable for interactive tasks, though its effectiveness in specific scenarios remains to be tested. Text generation might include creating summaries or narratives, while code generation could involve drafting scripts or pseudocode, though these possibilities are not guaranteed. Question answering could benefit from its reasoning capabilities, but real-world performance would depend on context and training data. These uses are potential ideas that require thorough investigation before implementation.

• Text generation
• Code generation
• Question answering

Stable Beluga 13B could support a range of possible applications, including text generation, code generation, and question answering, though these are potential uses that require further exploration. Its ability to follow instructions and generate context-aware responses might make it suitable for tasks like drafting creative content, assisting with coding workflows, or providing explanations, but these possibilities need careful validation. The model’s design for general-purpose tasks suggests it could be used in educational settings, content creation, or interactive dialogue systems, though its effectiveness in specific scenarios remains to be confirmed. Each possible application would benefit from thorough testing to ensure alignment with user needs and ethical guidelines.

• Text generation
• Code generation
• Question answering

Stable Beluga 13B in its medium q4 version requires a GPU with at least 16GB VRAM (e.g., RTX 3090) for efficient operation, balancing precision and performance. This makes it accessible for mid-range hardware, though system memory of at least 32GB and adequate cooling are also necessary. The q4 quantization reduces resource demands compared to higher-precision versions, enabling broader usability for tasks like text generation or code assistance. However, specific requirements may vary based on workload and implementation.

• fp16, q2, q3, q4, q5, q6, q8

Stable Beluga 13B is a mid-scale large language model with 13b parameters, designed for general-purpose tasks like text and code generation, and it operates under the Stable Beluga Non-Commercial Community License. Its 4k context length supports concise interactions, making it suitable for applications requiring efficiency and responsiveness, though further evaluation is needed for specific use cases.

Huggingface Model Page
Ollama Model Page