Autotrain compatible Dataset:oscar Endpoints compatible Generated from trainer Gpt2 Region:us Safetensors
Model Card on HF 🤗: https://huggingface.co/Vishwas1/hummingbird-base-marathi
Hummingbird Base Marathi Benchmarks
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
What is the LLM Explorer Rank (Score)
Hummingbird Base Marathi Parameters and Internals
| Training Details |
|
| LLM Name | Hummingbird Base Marathi |
| Repository 🤗 | https://huggingface.co/Vishwas1/hummingbird-base-marathi |
| Model Size | 14.1m |
| Required VRAM | 0.1 GB |
| Updated | 2025-09-23 |
| Maintainer | Vishwas1 |
| Model Type | gpt2 |
| Model Files | |
| Model Architecture | GPT2LMHeadModel |
| Transformers Version | 4.44.2 |
| Tokenizer Class | GPT2Tokenizer |
| Padding Token | <pad> |
| Vocabulary Size | 30184 |
| Torch Data Type | float32 |
| Activation Function | gelu_new |
| Errors | replace |
Best Alternatives to Hummingbird Base Marathi
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| ...ingbird Base Marathi Finetuned | 0K / 0.1 GB | 10 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than Vishwas1/hummingbird-base-marathi .
Rank the Hummingbird Base Marathi Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124