GPUburnout 2B 75K is an open-source language model by GPUburnout. Features: 2b LLM, VRAM: 3.8GB, Context: 2K.
Model Card on HF 🤗: https://huggingface.co/GPUburnout/GPUburnout-2B-75K
GPUburnout 2B 75K Parameters and Internals
| LLM Name | GPUburnout 2B 75K |
| Repository 🤗 | https://huggingface.co/GPUburnout/GPUburnout-2B-75K |
| Model Size | 2b |
| Required VRAM | 3.8 GB |
| Updated | 2026-03-27 |
| Maintainer | GPUburnout |
| Model Type | llama |
| Model Files | |
| Model Architecture | LlamaForCausalLM |
| Context Length | 2048 |
| Model Max Length | 2048 |
| Transformers Version | 5.3.0 |
| Tokenizer Class | TokenizersBackend |
| Padding Token | <|pad|> |
| Vocabulary Size | 32005 |
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| Llama 2B Hf 32768 Fpf | 32K / 3.8 GB | 7 | 1 |
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| Salamandra 2B Instruct | 8K / 4.5 GB | 6288 | 27 |
| ScrapeGoat Music Stage2 | 8K / 3.9 GB | 1 | 1 |
| Salamandra 2B | 8K / 4.5 GB | 1733 | 23 |
| Sarvam 2B V0.5 | 8K / 5.1 GB | 1007 | 86 |
| Sarvam 1 V0.5 | 8K / 5.1 GB | 592 | 95 |
| Sarvam 0.5 | 8K / 5.1 GB | 159 | 95 |
Note: green Score (e.g. "73.2") means that the model is better than GPUburnout/GPUburnout-2B-75K .
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Original data from HuggingFace, OpenCompass and various public git repos.
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Release v20260327b