Model Card on HF 🤗: https://huggingface.co/tinycompany/ShawtyIsBad-e5-large
ShawtyIsBad E5 Large Benchmarks
MMLU Pro: 17.43
GPQA: 6.94
MUSR: 6.14
BBH: 14.18
IFEval: 24.68 vs 88 (so35)-72%
MATH Lvl 5: 4.53
LLME Score: 0.25687
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)
ShawtyIsBad E5 Large Parameters and Internals
| LLM Name | ShawtyIsBad E5 Large |
| Repository 🤗 | https://huggingface.co/tinycompany/ShawtyIsBad-e5-large |
| Model Size | 1.5b |
| Required VRAM | 2.9 GB |
| Updated | 2025-07-23 |
| Maintainer | tinycompany |
| Model Type | qwen2 |
| Model Files | |
| Model Architecture | Qwen2ForCausalLM |
| License | mit |
| Context Length | 131072 |
| Model Max Length | 131072 |
| Transformers Version | 4.47.0 |
| Tokenizer Class | PreTrainedTokenizerFast |
| Padding Token | <|endoftext|> |
| Vocabulary Size | 81920 |
| Torch Data Type | bfloat16 |
Best Alternatives to ShawtyIsBad E5 Large
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| ReaderLM V2 | 500K / 3.1 GB | 13025 | 675 |
| Reader Lm 1.5B | 250K / 3.1 GB | 1181 | 600 |
| DeepSeek R1 Distill Qwen 1.5B | 128K / 3.5 GB | 975233 | 1274 |
| OpenReasoning Nemotron 1.5B | 128K / 3.1 GB | 1384 | 27 |
| ...n Research Reasoning Qwen 1.5B | 128K / 3.5 GB | 12789 | 176 |
| DeepScaleR 1.5B Preview | 128K / 7.1 GB | 81116 | 568 |
| Qwen2.5 1.5B | 128K / 3.1 GB | 451421 | 109 |
| AceInstruct 1.5B | 128K / 3.5 GB | 17216 | 20 |
| Qwen2 1.5B | 128K / 3.1 GB | 120782 | 94 |
| Stella En 1.5B V5 | 128K / 6.2 GB | 581890 | 211 |
Note: green Score (e.g. "73.2") means that the model is better than tinycompany/ShawtyIsBad-e5-large .
Rank the ShawtyIsBad E5 Large Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124