GPT Youtube is an open-source language model by BreadAi. Features: 160m LLM, VRAM: 0.7GB, Context: 2K, HF Score: 28.5, LLM Explorer Score: 0.12, Arc: 23.3, HellaSwag: 26.3, MMLU: 23.5, TruthfulQA: 48.6, WinoGrande: 48.9.
Model Card on HF 🤗: https://huggingface.co/BreadAi/gpt-Youtube
GPT Youtube Benchmarks
ARC: 23.29 vs 96.7 (so35)-75.9%
HellaSwag: 26.34 vs 95.3 (gpt4)-72.4%
MMLU: 23.54 vs 88.3 (so35)-73.3%
TruthfulQA: 48.63 vs 59 (gpt4)-17.6%
WinoGrande: 48.93 vs 87.5 (gpt4)-44.1%
LLME Score: 0.11753
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)
GPT Youtube Parameters and Internals
| Model Type |
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| Additional Notes |
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| Training Details |
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| LLM Name | GPT Youtube |
| Repository 🤗 | https://huggingface.co/BreadAi/gpt-Youtube |
| Model Size | 160m |
| Required VRAM | 0.7 GB |
| Updated | 2026-03-29 |
| Maintainer | BreadAi |
| Model Type | gpt_neox |
| Model Files | |
| Model Architecture | GPTNeoXForCausalLM |
| Context Length | 2048 |
| Model Max Length | 2048 |
| Transformers Version | 4.26.1 |
| Tokenizer Class | GPTNeoXTokenizer |
| Vocabulary Size | 50304 |
| Torch Data Type | float32 |
Best Alternatives to GPT Youtube
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Pythia 160M C2s | 8K / 0.6 GB | 404 | 6 |
| Pythia 160M | 2K / 0.4 GB | 1910224 | 38 |
| Pythia 160M Xsum Roya | 2K / 0.6 GB | 6 | 0 |
| Pythia 160M Deduped | 2K / 0.4 GB | 114509 | 3 |
| Pythia 160m Sft | 2K / 0 GB | 5 | 0 |
| Sheared Pythia 160M | 2K / 0.7 GB | 149 | 4 |
| ...hia 160M Deduped Step92k 193bt | 2K / 0.4 GB | 1025 | 0 |
| Pythia 160M Dolphin Extended | 2K / 0.3 GB | 21 | 0 |
| Pythia 160M Storytelling | 2K / 0.3 GB | 5 | 0 |
| Pythia160m Sft Tldr | 2K / 0.6 GB | 5 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than BreadAi/gpt-Youtube .
Rank the GPT Youtube Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
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Release v20260328a