sampluralis/llama-mid
TEXT GENERATIONConcurrency Cost:1Model Size:1BQuant:BF16Ctx Length:32kPublished:Feb 26, 2026Architecture:Transformer Warm
sampluralis/llama-mid is a fine-tuned language model based on gshasiri/llama3.2-1B-chatml, developed by sampluralis. This model was trained using the TRL library for transformer reinforcement learning. It is designed for general text generation tasks, leveraging its fine-tuned architecture to produce coherent and contextually relevant responses.
Loading preview...
Model Overview
sampluralis/llama-mid is a fine-tuned language model derived from the gshasiri/llama3.2-1B-chatml base model. It was developed by sampluralis and trained using the TRL library, which specializes in Transformer Reinforcement Learning. The training process involved Supervised Fine-Tuning (SFT).
Key Capabilities
- Text Generation: Capable of generating human-like text based on given prompts.
- ChatML Format: Inherits the
chatmlformat from its base model, suitable for conversational AI applications. - Pipeline Integration: Easily integrated into Python applications using the Hugging Face
transformerspipeline for text generation tasks.
Training Details
The model's training procedure utilized specific framework versions:
- TRL: 0.28.0
- Transformers: 4.57.6
- Pytorch: 2.6.0+cu126
- Datasets: 4.6.0
- Tokenizers: 0.22.2
Good For
- Conversational AI: Generating responses in a chat-like format.
- General Purpose Text Generation: Creating various forms of text content.
- Research and Experimentation: Serving as a base for further fine-tuning or research into SFT methods.