OpenHands LM 32B v0.1
| Property | Value |
|---|---|
| Parameter Count | 32 Billion |
| Model Type | Large Language Model (GGUF Format) |
| Context Length | 32k (expandable to 128k with YARN) |
| Base Model | Qwen2.5 |
| Hugging Face | lmstudio-community/openhands-lm-32b-v0.1-GGUF |
What is openhands-lm-32b-v0.1-GGUF?
OpenHands LM 32B is a specialized large language model fine-tuned specifically for coding and software development tasks. Built on the Qwen2.5 architecture, this model has been optimized and converted to GGUF format by bartowski using llama.cpp release b5010, making it more accessible and efficient for deployment.
Implementation Details
The model leverages advanced architecture features with a substantial 32B parameter count. It supports an impressive native context length of 32,000 tokens, which can be extended to 128,000 tokens using YARN technology. The GGUF quantization ensures efficient memory usage while maintaining model performance.
- 32B parameters for comprehensive understanding of code and development tasks
- Native 32k context window with 128k expansion capability
- GGUF format optimization for improved deployment efficiency
- Based on Qwen2.5 architecture with specialized fine-tuning
Core Capabilities
- Advanced code generation and completion
- Software development task automation
- Extended context handling for large code bases
- Optimized performance through GGUF quantization
Frequently Asked Questions
Q: What makes this model unique?
The model's unique strength lies in its specialized fine-tuning for coding tasks combined with an exceptionally large context window, making it particularly effective for complex software development scenarios.
Q: What are the recommended use cases?
This model is ideal for software development tasks, including code generation, code completion, debugging assistance, and handling large codebases that require extended context understanding.
