Hackathon 250M Llm is an open-source language model by VehaanS. Features: 250m LLM, VRAM: 1GB, Context: 2K, LLM Explorer Score: 0.3.
Model Card on HF 🤗: https://huggingface.co/VehaanS/hackathon-250m-llm
Hackathon 250M Llm 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)
Hackathon 250M Llm Parameters and Internals
| LLM Name | Hackathon 250M Llm |
| Repository 🤗 | https://huggingface.co/VehaanS/hackathon-250m-llm |
| Model Size | 250m |
| Required VRAM | 1 GB |
| Updated | 2026-05-21 |
| Maintainer | VehaanS |
| Model Type | llama |
| Model Files | |
| Model Architecture | LlamaForCausalLM |
| Context Length | 2048 |
| Model Max Length | 2048 |
| Transformers Version | 5.0.0 |
| Vocabulary Size | 50257 |
Rank the Hackathon 250M Llm Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
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Release v20260328a