Cerebras GPT 111M Instruction is an open-source language model by SebastianSchramm. Features: 111m LLM, VRAM: 0.4GB, Instruction-Based, HF Score: 29.6, LLM Explorer Score: 0.12, Arc: 24.4, HellaSwag: 26.1, MMLU: 25.9, TruthfulQA: 49.5, WinoGrande: 51.6.
Base model:cerebras/cerebras-g... Base model:finetune:cerebras/c... Cerebras En Gpt2 Instruct Pytorch Region:us Safetensors
Model Card on HF 🤗: https://huggingface.co/SebastianSchramm/Cerebras-GPT-111M-instruction
Cerebras GPT 111M Instruction Benchmarks
ARC: 24.4 vs 96.7 (so35)-74.8%
HellaSwag: 26.05 vs 95.3 (gpt4)-72.7%
MMLU: 25.87 vs 88.3 (so35)-70.7%
TruthfulQA: 49.46 vs 59 (gpt4)-16.2%
WinoGrande: 51.62 vs 87.5 (gpt4)-41%
LLME Score: 0.1165
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)
Cerebras GPT 111M Instruction Parameters and Internals
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| LLM Name | Cerebras GPT 111M Instruction |
| Repository 🤗 | https://huggingface.co/SebastianSchramm/Cerebras-GPT-111M-instruction |
| Base Model(s) | |
| Model Size | 111m |
| Required VRAM | 0.4 GB |
| Updated | 2026-03-29 |
| Maintainer | SebastianSchramm |
| Model Type | gpt2 |
| Instruction-Based | Yes |
| Model Files | |
| Supported Languages | en |
| Model Architecture | GPT2LMHeadModel |
| Model Max Length | 2048 |
| Transformers Version | 4.33.0.dev0 |
| Tokenizer Class | GPT2Tokenizer |
| Beginning of Sentence Token | <|endoftext|> |
| End of Sentence Token | <|endoftext|> |
| Unk Token | <|endoftext|> |
| Vocabulary Size | 50258 |
| Torch Data Type | float32 |
| Activation Function | gelu |
| Errors | replace |
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Original data from HuggingFace, OpenCompass and various public git repos.
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Release v20260328a