Model Card on HF 🤗: https://huggingface.co/XsoraS/outputs3
Outputs3 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)
Outputs3 Parameters and Internals
| LLM Name | Outputs3 |
| Repository 🤗 | https://huggingface.co/XsoraS/outputs3 |
| Model Size | 410m |
| Required VRAM | 0.8 GB |
| Updated | 2025-02-05 |
| Maintainer | XsoraS |
| Model Type | gpt_neox |
| Model Files | |
| Model Architecture | GPTNeoXForCausalLM |
| Context Length | 2048 |
| Model Max Length | 2048 |
| Transformers Version | 4.39.3 |
| Tokenizer Class | GPTNeoXTokenizer |
| Padding Token | <|endoftext|> |
| Vocabulary Size | 50304 |
| Torch Data Type | float16 |
Best Alternatives to Outputs3
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Pythia410m Sft Tldr | 2K / 1.6 GB | 4549 | 0 |
| Pythia 410M Sft Full | 2K / 0.8 GB | 137 | 0 |
| Pythia 410M | 2K / 0.9 GB | 74690 | 22 |
| Healix 410M | 2K / 1.6 GB | 1274 | 0 |
| Pythia 410M Ludii Sft | 2K / 1.6 GB | 142 | 0 |
| Pythia 410M Deduped SimPOW 0 | 2K / 0.8 GB | 6 | 0 |
| Pythia 410M Orpo | 2K / 1.6 GB | 5 | 0 |
| ... Llm Pythia 410M Pm Gen Ian Nd | 2K / 1.6 GB | 134 | 0 |
| ...7 Kl 01 Steps 12000 Rlhf Model | 2K / 1.6 GB | 14 | 0 |
| Pythia 410m Adpater Lora Mrpc | 2K / 1.6 GB | 9 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than XsoraS/outputs3 .
Rank the Outputs3 Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227