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Dlite V2 124M by aisquared

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  Autotrain compatible Dataset:aisquared/databricks-d...   En   Endpoints compatible   Gpt2   Pytorch   Region:us
Model Card on HF 🤗: https://huggingface.co/aisquared/dlite-v2-124m 

Dlite V2 124M Benchmarks

ARC: 23.98 vs 96.7 (so35)-75.2%
HellaSwag: 31.1 vs 95.3 (gpt4)-67.4%
MMLU: 25.29 vs 88.3 (so35)-71.4%
TruthfulQA: 38.98 vs 59 (gpt4)-33.9%
WinoGrande: 50.43 vs 87.5 (gpt4)-42.4%
LLME Score: 0.13907
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
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Dlite V2 124M Parameters and Internals

Model Type 
Large Language Model
Use Cases 
Limitations:
Factual inaccuracies, Biases, Offensive responses, Toxicity, Hallucinations
Considerations:
Exercise good judgment when applying this technology.
Additional Notes 
DLite is an experimental technology and is not designed for use in any environment without significant testing and safety consideration.
Supported Languages 
EN (NLP)
Training Details 
Data Sources:
Databricks' 'Dolly 15k' Dataset
Data Volume:
15k records
Methodology:
Fine-tuned on a single GPU
Hardware Used:
Single GPU
Input Output 
Performance Tips:
Including torch_dtype=torch.bfloat16 is generally recommended.
LLM NameDlite V2 124M
Repository 🤗https://huggingface.co/aisquared/dlite-v2-124m 
Model Size124m
Required VRAM0.3 GB
Updated2025-06-09
Maintaineraisquared
Model Typegpt2
Model Files  0.3 GB   0.0 GB
Supported Languagesen
Model ArchitectureGPT2LMHeadModel
Licenseapache-2.0
Model Max Length1024
Transformers Version4.25.1
Tokenizer ClassGPT2Tokenizer
Vocabulary Size50260
Torch Data Typefloat32
Activation Functiongelu_new
Dlite V2 124M (aisquared/dlite-v2-124m)

Best Alternatives to Dlite V2 124M

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GPT2 124M Poetry RL0K / 0.5 GB11611
Gpt2 Final0K / 0.5 GB120
Filiberto 124M0K / 0.5 GB190
GPT2 Nepali 124M0K / 0.5 GB125
LaMini GPT 124M0K / 0.5 GB314522
Dlite V1 124M0K / 0.5 GB1630
Note: green Score (e.g. "73.2") means that the model is better than aisquared/dlite-v2-124m.

Rank the Dlite V2 124M Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
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Release v20241124
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