Model Card on HF 🤗: https://huggingface.co/DragonLLM/fin-pythia-1.4b
Fin Pythia 1.4B 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)
Fin Pythia 1.4B Parameters and Internals
| LLM Name | Fin Pythia 1.4B |
| Repository 🤗 | https://huggingface.co/DragonLLM/fin-pythia-1.4b |
| Model Size | 1.4b |
| Required VRAM | 5.8 GB |
| Updated | 2026-01-29 |
| Maintainer | LinguaCustodia |
| Model Type | gpt_neox |
| Model Files | |
| Model Architecture | GPTNeoXForCausalLM |
| License | apache-2.0 |
| Context Length | 2048 |
| Model Max Length | 2048 |
| Transformers Version | 4.30.2 |
| Tokenizer Class | GPTNeoXTokenizer |
| Vocabulary Size | 50304 |
| Torch Data Type | float32 |
Best Alternatives to Fin Pythia 1.4B
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Pythia 1.4B Deduped 8K Base | 8K / 7.3 GB | 8 | 1 |
| Pythia 1.4B Deduped 4K Base | 4K / 6.1 GB | 0 | 2 |
| Statichh Pythia 1.4B Sft Bf16 | 2K / 5.7 GB | 13 | 0 |
| Pythia 1.4B | 2K / 2.9 GB | 70903 | 25 |
| Pythia 1.4B Sft Full | 2K / 2.8 GB | 1 | 1 |
| Pythia Delphi Suboptimal | 2K / 5.7 GB | 5 | 0 |
| RCC Ins Reconstruction | 2K / 6.1 GB | 8 | 1 |
| Pythia 1.4B Deduped Sharegpt | 2K / 2.8 GB | 704 | 2 |
| Pythia 1.4B Deduped Sharegpt | 2K / 2.8 GB | 1060 | 0 |
| Pythia 1.4B Deduped | 2K / 2.9 GB | 9497 | 20 |
Note: green Score (e.g. "73.2") means that the model is better than DragonLLM/fin-pythia-1.4b .
Rank the Fin Pythia 1.4B Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124