Model Card on HF 🤗: https://huggingface.co/power-greg/taco
Taco 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)
Taco Parameters and Internals
| LLM Name | Taco |
| Repository 🤗 | https://huggingface.co/power-greg/taco |
| Model Size | 125m |
| Required VRAM | 0.7 GB |
| Updated | 2025-09-23 |
| Maintainer | power-greg |
| Model Type | gpt_neox |
| Model Files | |
| Model Architecture | GPTNeoXForCausalLM |
| License | apache-2.0 |
| Context Length | 2048 |
| Model Max Length | 2048 |
| Transformers Version | 4.25.1 |
| Tokenizer Class | GPTNeoXTokenizer |
| Vocabulary Size | 50277 |
| Torch Data Type | float32 |
Best Alternatives to Taco
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Pythia 125M Storywriter | 2K / 0.6 GB | 6 | 0 |
| Korean GPT Neox 125M | 2K / 0.4 GB | 270 | 1 |
| ... 125M Response Full Static Sft | 2K / 0.7 GB | 7 | 1 |
| Pythia 125M Static Sft | 2K / 0.7 GB | 4 | 1 |
| Openchatgpt Neox 125M | 2K / 0.7 GB | 2 | 4 |
Note: green Score (e.g. "73.2") means that the model is better than power-greg/taco .
Rank the Taco Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124