18-Death/sq-base64-walnut53-gsm8k
TEXT GENERATIONConcurrency Cost:1Model Size:3.1BQuant:BF16Ctx Length:32kTool Calling:SupportedPublished:Jun 16, 2026Architecture:Transformer Cold
The 18-Death/sq-base64-walnut53-gsm8k is a 3.1 billion parameter language model fine-tuned using the TRL framework. It features a substantial 32768 token context length, indicating suitability for processing longer sequences of text. This model is designed for general text generation tasks, leveraging its fine-tuned architecture to produce coherent and contextually relevant outputs.
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Model Overview
The 18-Death/sq-base64-walnut53-gsm8k is a 3.1 billion parameter language model that has been fine-tuned using the TRL library. It is built upon an unspecified base model and was trained using Supervised Fine-Tuning (SFT) techniques.
Key Capabilities
- Text Generation: Capable of generating human-like text based on given prompts.
- Long Context Handling: Features a 32768 token context length, allowing it to process and generate longer sequences while maintaining coherence.
- TRL Framework: Benefits from the fine-tuning methodologies provided by the TRL library, which is often used for reinforcement learning from human feedback (RLHF) or supervised fine-tuning.
Training Details
The model was trained with the following framework versions:
- TRL: 1.3.0
- Transformers: 5.6.2
- Pytorch: 2.10.0
- Datasets: 4.8.4
- Tokenizers: 0.22.2
Good For
- General Text Generation: Suitable for various applications requiring text completion, question answering, or creative writing.
- Exploration with TRL: Developers interested in models fine-tuned with the TRL framework may find this a useful starting point.