18-Death/sq-walnut53-bijection-gsm8k
TEXT GENERATIONConcurrency Cost:1Model Size:3.1BQuant:BF16Ctx Length:32kTool Calling:SupportedPublished:Jun 16, 2026Architecture:Transformer Cold
The 18-Death/sq-walnut53-bijection-gsm8k is a 3.1 billion parameter language model fine-tuned using the TRL framework. This model is designed for general text generation tasks, leveraging its 32768 token context length for processing longer inputs. It is a fine-tuned version of an unspecified base model, optimized for conversational responses.
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Model Overview
The 18-Death/sq-walnut53-bijection-gsm8k is a 3.1 billion parameter language model that has been fine-tuned using the TRL (Transformers Reinforcement Learning) framework. This model is a specialized iteration of an unspecified base model, focusing on enhancing its text generation capabilities.
Key Capabilities
- Text Generation: Optimized for generating coherent and contextually relevant text based on user prompts.
- Fine-tuned Performance: Benefits from SFT (Supervised Fine-Tuning) using the TRL library, suggesting improved performance on specific tasks compared to its base model.
- Extended Context Window: Features a substantial 32768 token context length, allowing it to process and generate longer sequences of text while maintaining context.
When to Use This Model
- General Text Generation: Suitable for various applications requiring natural language output, such as answering questions or continuing conversations.
- Exploratory Fine-tuning: Developers interested in models fine-tuned with the TRL framework for specific generation tasks may find this model useful for experimentation or as a starting point.