wijan/nlp_planner_llama31
TEXT GENERATIONConcurrency Cost:1Model Size:8BQuant:FP8Ctx Length:8kTool Calling:SupportedPublished:Jun 16, 2026Architecture:Transformer Cold
The wijan/nlp_planner_llama31 is an 8 billion parameter language model, fine-tuned and converted to GGUF format using Unsloth. This model is optimized for planning tasks, leveraging its Llama3-based architecture. It offers an 8192 token context length, making it suitable for applications requiring efficient processing of moderately long sequences.
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Model Overview
The wijan/nlp_planner_llama31 is an 8 billion parameter language model, fine-tuned and converted into the GGUF format. This model leverages the Llama3 architecture and was processed using Unsloth, which facilitated a 2x faster training process.
Key Capabilities
- Efficient Planning: Specifically fine-tuned for natural language processing tasks related to planning.
- GGUF Format: Provided in GGUF format, making it compatible with various inference engines and hardware.
- Optimized Training: Benefits from Unsloth's optimizations, leading to faster training times.
- Context Length: Supports an 8192 token context window, suitable for handling detailed planning instructions or scenarios.
Good For
- Applications requiring a compact yet capable model for planning-oriented NLP tasks.
- Developers looking for a Llama3-based model in GGUF format for local deployment or specific inference setups.
- Scenarios where efficient processing of moderately long text sequences is crucial for planning or task management.