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Dlite V1 124M by aisquared

By aisquared · 131 downloads

Dlite V1 124M is an open-source language model by aisquared. Features: 124m LLM, VRAM: 0.5GB, License: apache-2.0, LLM Explorer Score: 0.11, Arc: 24.3, HellaSwag: 31.2, MMLU: 25.1.

  Dataset:tatsu-lab/alpaca   En   Endpoints compatible   Gpt2   Pytorch   Region:us

Dlite V1 124M Parameters and Internals

Model Type 
Large Language Model
Use Cases 
Limitations:
Not a state-of-the-art model, Experimental model, Can exhibit undesired behaviors: factual inaccuracies, biases, offensive responses, toxicity, and hallucinations
Considerations:
Exercise good judgment when applying this technology.
Additional Notes 
Model not suitable for environments other than research purposes.
Supported Languages 
EN (English)
Training Details 
Data Sources:
tatsu-lab/alpaca
Data Volume:
50k records
Methodology:
Fine-tuning on GPT-2
Hardware Used:
Single T4 GPU
Model Architecture:
Derived from GPT-2
Input Output 
Performance Tips:
Including `torch_dtype=torch.bfloat16` is generally recommended to reduce memory usage.
LLM NameDlite V1 124M
Repository πŸ€—https://huggingface.co/aisquared/dlite-v1-124m 
Model Size124m
Required VRAM0.5 GB
Updated2026-07-16
Maintaineraisquared
Model Typegpt2
Model Files  0.5 GB   0.0 GB
Supported Languagesen
Model ArchitectureGPT2LMHeadModel
Licenseapache-2.0
Model Max Length1024
Transformers Version4.25.1
Tokenizer ClassGPT2Tokenizer
Vocabulary Size50257
Torch Data Typefloat32
Activation Functiongelu_new

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Note: green Score (e.g. "73.2") means that the model is better than aisquared/dlite-v1-124m.