18-Death/sq-walnut53-base64-gsm8k
TEXT GENERATIONConcurrency Cost:1Model Size:3.1BQuant:BF16Ctx Length:32kTool Calling:SupportedPublished:Jun 16, 2026Architecture:Transformer Cold
The 18-Death/sq-walnut53-base64-gsm8k is a 3.1 billion parameter language model fine-tuned using TRL. This model is a specialized version, likely optimized for specific tasks given its fine-tuning approach. Its 32768-token context length allows for processing extensive inputs and generating detailed responses.
Loading preview...
Model Overview
The 18-Death/sq-walnut53-base64-gsm8k is a 3.1 billion parameter language model that has been fine-tuned using the TRL library. This model is a specialized iteration, built upon an unspecified base model, and trained with Supervised Fine-Tuning (SFT) techniques.
Key Characteristics
- Parameter Count: 3.1 billion parameters.
- Context Length: Supports a substantial context window of 32768 tokens.
- Training Method: Fine-tuned using Supervised Fine-Tuning (SFT).
- Frameworks: Developed with TRL (version 1.3.0), Transformers (version 5.6.2), PyTorch (version 2.10.0), Datasets (version 4.8.4), and Tokenizers (version 0.22.2).
Potential Use Cases
Given its fine-tuned nature and significant context length, this model is suitable for applications requiring:
- Extended Text Generation: Generating long-form content or detailed responses based on extensive prompts.
- Specialized Conversational AI: Engaging in nuanced dialogues where context retention over many turns is crucial.
- Task-Specific Applications: Performing well on particular tasks for which it was fine-tuned, leveraging its SFT training.