ihounie/1B-ultrachat
TEXT GENERATIONConcurrency Cost:1Model Size:1BQuant:BF16Ctx Length:32kPublished:Feb 24, 2026License:llama3.2Architecture:Transformer Warm
ihounie/1B-ultrachat is a 1 billion parameter causal language model fine-tuned from meta-llama/Llama-3.2-1B. This model was trained with a learning rate of 1e-05 and a cosine learning rate scheduler over one epoch. Its primary use case and specific differentiators are not detailed in the available information.
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Overview
ihounie/1B-ultrachat is a 1 billion parameter language model, fine-tuned from the meta-llama/Llama-3.2-1B base model. The specific dataset used for fine-tuning is not disclosed.
Training Details
The model was trained using the following key hyperparameters:
- Learning Rate: 1e-05
- Optimizer: ADAMW_TORCH_FUSED with betas=(0.9, 0.999) and epsilon=1e-08
- Batch Size: A total training batch size of 64 (train_batch_size: 4, gradient_accumulation_steps: 16)
- LR Scheduler: Cosine type
- Epochs: 1.0
Key Capabilities
Due to limited information, specific key capabilities and intended uses are not detailed. Users should perform their own evaluations to determine suitability for particular tasks.
Good for
- Further experimentation or fine-tuning on specific, small-scale tasks where a 1B parameter model is sufficient.
- Research into the effects of fine-tuning on Llama-3.2-1B with undisclosed datasets.