Dlite V1 124M by aisquared

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Dlite V1 124M is an open-source language model by aisquared. Features: 124m LLM, VRAM: 0.5GB, License: apache-2.0, LLM Explorer Score: 0.12, Arc: 24.3, HellaSwag: 31.2, MMLU: 25.1.

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

Dlite V1 124M Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

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 🤗https://huggingface.co/aisquared/dlite-v1-124m 
Model Size124m
Required VRAM0.5 GB
Updated2026-05-08
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

Best Alternatives to Dlite V1 124M

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Context / RAM
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BrtGPT 124M Base0K / 0.4 GB61
GPT2 124M Poetry RL0K / 0.5 GB62
Gpt2 Final0K / 0.5 GB60
Filiberto 124M0K / 0.5 GB60
GPT2 Nepali 124M0K / 0.5 GB295
GPT2 Nepali 124M0K / 0.5 GB65
LaMini GPT 124M0K / 0.5 GB469123
Dlite V2 124M0K / 0.3 GB26687
Note: green Score (e.g. "73.2") means that the model is better than aisquared/dlite-v1-124m.

Rank the Dlite V1 124M Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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Release v20260328a