s30km0/model
TEXT GENERATIONPricing:Input $0.2 / Cached $0.028 / Output $0.32Concurrent Unit Cost:1Model Size:8BQuant:FP8Context Size:32kTool Calling:SupportedPublished:Dec 12, 2025Architecture:Transformer Featherless Exclusive Cold
The s30km0/model is an 8 billion parameter language model, based on the Meta Llama 3.1 architecture, converted to the GGUF format. This model was fine-tuned and converted using Unsloth, making it suitable for efficient local deployment. It offers a context length of 32768 tokens, primarily designed for general text generation and understanding tasks.
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Overview
The s30km0/model is an 8 billion parameter language model, specifically the Meta Llama 3.1 architecture, provided in the GGUF format. This conversion and fine-tuning process was performed using the Unsloth library, which optimizes models for efficient local inference.
Key Capabilities
- Efficient Local Deployment: Optimized for running on consumer hardware thanks to the GGUF format.
- General Text Generation: Suitable for a wide range of natural language processing tasks.
- Large Context Window: Supports a context length of 32768 tokens, allowing for processing longer inputs and maintaining conversational coherence over extended interactions.
Good For
- Local Inference Applications: Ideal for developers and users who need to run powerful language models directly on their machines without cloud dependencies.
- Experimentation and Prototyping: Provides a robust base model for various NLP experiments and application development.
- Text-based Tasks: Excels in tasks requiring text understanding, generation, and summarization, leveraging its Llama 3.1 foundation.