Wizardlm 30B - Details

Wizardlm 30B is a large language model developed by Wizardlm, an organization, featuring 30B parameters. It operates under the Llama 2 Community License Agreement (LLAMA-2-CLA), allowing for specific usage rights and restrictions. The model is designed to support a wide range of natural language processing tasks, leveraging its substantial parameter count to enhance performance and versatility.

WizardCoder is a series of code-focused large language models developed using the Evol-Instruct method, which enhances code generation and instruction-following capabilities by fine-tuning StarCoder with evolved code instructions. The models achieve state-of-the-art performance on benchmarks like HumanEval and MBPP, with variants such as WizardCoder-33B-V1.1 outperforming models like ChatGPT 3.5 and Gemini Pro. The project emphasizes open-source collaboration, providing training scripts, inference tools, and evaluation frameworks to support community development and research.

The Wizardlm 30B model has 30b parameters, placing it in the large model category, which offers strong performance for complex tasks but requires significant computational resources. Its 2k context length is suitable for short to moderate tasks, making it effective for concise interactions but less ideal for very long texts. The implications of this configuration include a balance between capability and resource demands, making it versatile for a range of applications while necessitating careful management of computational needs.

• Name: Wizardlm 30B
• Parameter_Size: 30b
• Context_Length: 2k
• Implications: Large model category (complex tasks, resource-intensive); short to moderate context (suitable for concise tasks, limited for long texts)

The Wizardlm 30B model, with its 30b parameters and 2k context length, presents possible applications in areas such as code generation, problem-solving with code, code debugging, and optimization. These possible uses could support tasks requiring technical expertise, but further exploration is necessary to confirm their effectiveness and suitability for specific scenarios. The model's design suggests it may be well-suited for environments where code-related tasks are central, though possible limitations in context handling or parameter efficiency could affect performance in certain cases. Possible integration into development workflows, educational tools, or research projects remains to be validated through rigorous testing.

• code generation
• problem-solving with code
• code debugging and optimization

The Wizardlm 30B model, with its 30b parameters and 2k context length, could have possible applications in areas such as code generation, problem-solving with code, code debugging, and optimization. These possible uses might support tasks requiring technical expertise, but further investigation is essential to determine their viability and effectiveness in specific contexts. The possible integration of the model into development workflows, educational tools, or research projects remains to be validated through rigorous testing. Possible limitations in handling complex or extended tasks could affect performance, underscoring the need for careful evaluation before deployment.

• code generation
• problem-solving with code
• code debugging and optimization

The Wizardlm 30B model's medium q4 version, which balances precision and performance, requires a GPU with at least 24GB VRAM and 32GB system memory to operate efficiently. Possible variations in hardware demands may depend on workload and optimization, but this configuration is possible to run on mid-to-high-end GPUs like the RTX 3090 or A100. Adequate cooling and a stable power supply are possible necessities for reliable performance.

• fp16, q2, q3, q4, q5, q6, q8

Wizardlm 30B is a large language model with 30b parameters and a 2k context length, designed for complex tasks requiring substantial computational resources. Its configuration suggests possible applications in code-related domains, though deployment depends on hardware capabilities and thorough evaluation.

Huggingface Model Page
Ollama Model Page