Model Card on HF 🤗: https://huggingface.co/xgampx/epfl-cs-522-istari-mcqa
Epfl Cs 522 Istari Mcqa Benchmarks
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)
Epfl Cs 522 Istari Mcqa Parameters and Internals
| LLM Name | Epfl Cs 522 Istari Mcqa |
| Repository 🤗 | https://huggingface.co/xgampx/epfl-cs-522-istari-mcqa |
| Model Size | 125m |
| Required VRAM | 0.5 GB |
| Updated | 2025-02-05 |
| Maintainer | xgampx |
| Model Type | gpt_neo |
| Model Files | |
| Model Architecture | GPTNeoForCausalLM |
| Context Length | 2048 |
| Model Max Length | 2048 |
| Transformers Version | 4.40.2 |
| Tokenizer Class | GPT2Tokenizer |
| Padding Token | <|endoftext|> |
| Vocabulary Size | 50257 |
| Torch Data Type | float32 |
| Activation Function | gelu_new |
| Errors | replace |
Best Alternatives to Epfl Cs 522 Istari Mcqa
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Neox 125m Storytelling | 2K / 0.5 GB | 105 | 0 |
| GPT Neo Small | 2K / 0 GB | 162 | 0 |
| GPT Neo 125M Lama | 2K / 0.5 GB | 108 | 0 |
| GPT Neo Plantuml | 2K / 0.5 GB | 115 | 0 |
| GPT Neo 125M Sft | 2K / 0 GB | 5 | 0 |
| GPT Neo Plantuml Sol1 | 2K / 0.5 GB | 105 | 0 |
| GPT Neo 125M Code Alpaca | 2K / 0 GB | 111 | 0 |
| Aitextgen | 2K / 0.5 GB | 5 | 0 |
| Model | 2K / 0.2 GB | 107 | 0 |
| NewsGen | 2K / 0.5 GB | 8 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than xgampx/epfl-cs-522-istari-mcqa .
Rank the Epfl Cs 522 Istari Mcqa Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227