Instruct GPT is an open-source language model by Sharathhebbar24. Features: LLM, VRAM: 1.4GB, License: mit, Instruction-Based, HF Score: 31.5, LLM Explorer Score: 0.15, Arc: 28.2, HellaSwag: 39.3, MMLU: 26.8, TruthfulQA: 39.7, WinoGrande: 54.3, GSM8K: 0.3.
Dataset:databricks/databricks-... En Endpoints compatible Gpt2 Gpt2-medium Instruct Model-index Pytorch Region:us
Model Card on HF 🤗: https://huggingface.co/Sharathhebbar24/Instruct_GPT
Instruct GPT Benchmarks
ARC: 28.24 vs 96.7 (so35)-70.8%
HellaSwag: 39.33 vs 95.3 (gpt4)-58.7%
MMLU: 26.84 vs 88.3 (so35)-69.6%
TruthfulQA: 39.72 vs 59 (gpt4)-32.7%
WinoGrande: 54.3 vs 87.5 (gpt4)-37.9%
GSM8K: 0.3 vs 96.4 (so35)-99.7%
LLME Score: 0.14837
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)
Instruct GPT Parameters and Internals
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| Additional Notes |
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| Training Details |
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| LLM Name | Instruct GPT |
| Repository 🤗 | https://huggingface.co/Sharathhebbar24/Instruct_GPT |
| Required VRAM | 1.4 GB |
| Updated | 2026-03-12 |
| Maintainer | Sharathhebbar24 |
| Model Type | gpt2 |
| Instruction-Based | Yes |
| Model Files | |
| Supported Languages | en |
| Model Architecture | GPT2LMHeadModel |
| License | mit |
| Model Max Length | 1024 |
| Transformers Version | 4.34.1 |
| Tokenizer Class | GPT2Tokenizer |
| Vocabulary Size | 50257 |
| Torch Data Type | float32 |
| Activation Function | gelu_new |
Best Alternatives to Instruct GPT
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| BrtGPT 1 Pre | 0K / 0.4 GB | 132 | 0 |
| Math Gpt2 | 0K / 0.5 GB | 626 | 0 |
| Medical ChatBot | 0K / 10.4 GB | 836 | 10 |
Note: green Score (e.g. "73.2") means that the model is better than Sharathhebbar24/Instruct_GPT .
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Original data from HuggingFace, OpenCompass and various public git repos.
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Release v20260328a