Model Card on HF 🤗: https://huggingface.co/emozilla/pythia-1.4b-deduped-8k-base
Pythia 1.4B Deduped 8K Base 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)
Pythia 1.4B Deduped 8K Base Parameters and Internals
| LLM Name | Pythia 1.4B Deduped 8K Base |
| Repository 🤗 | https://huggingface.co/emozilla/pythia-1.4b-deduped-8k-base |
| Model Size | 1.4b |
| Required VRAM | 7.3 GB |
| Updated | 2025-06-09 |
| Maintainer | emozilla |
| Model Type | gpt_neox |
| Model Files | |
| Context Length | 8k |
| Model Architecture | GPTNeoXForCausalLM |
| Context Length | 8192 |
| Model Max Length | 8192 |
| Transformers Version | 4.28.1 |
| Tokenizer Class | GPTNeoXTokenizer |
| Vocabulary Size | 50304 |
| Torch Data Type | float32 |
Best Alternatives to Pythia 1.4B Deduped 8K Base
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Pythia 1.4B Deduped 4K Base | 4K / 6.1 GB | 24 | 2 |
| Pythia 1.4B | 2K / 2.9 GB | 108789 | 25 |
| Pythia 1.4B Sft Full | 2K / 2.8 GB | 17 | 1 |
| Pythia Delphi Suboptimal | 2K / 5.7 GB | 20 | 0 |
| RCC Ins Reconstruction | 2K / 6.1 GB | 16 | 1 |
| Pythia 1.4B Deduped | 2K / 2.9 GB | 45300 | 19 |
| Pythia 1.4b Sft Policy | 2K / 2.9 GB | 563 | 1 |
| Pythia 1.4B Deduped Sharegpt | 2K / 2.8 GB | 196 | 2 |
| Pythia 1.4B Deduped Sharegpt | 2K / 2.8 GB | 171 | 0 |
| ShortKing 1.4B V0.1 | 2K / 2.8 GB | 1643 | 2 |
Note: green Score (e.g. "73.2") means that the model is better than emozilla/pythia-1.4b-deduped-8k-base .
Rank the Pythia 1.4B Deduped 8K Base Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124