Arxiv:2310.02743 Autotrain compatible Dataset:tatsu-lab/alpaca farm Endpoints compatible Gpt neox Pytorch Region:us
Model Card on HF 🤗: https://huggingface.co/tlc4418/pythia_1.4b_sft_policy
Pythia 1.4b Sft Policy 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 Sft Policy Parameters and Internals
| Model Type |
| ||||||
| Training Details |
|
| LLM Name | Pythia 1.4b Sft Policy |
| Repository 🤗 | https://huggingface.co/tlc4418/pythia_1.4b_sft_policy |
| Model Size | 1.4b |
| Required VRAM | 2.9 GB |
| Updated | 2025-06-01 |
| Maintainer | tlc4418 |
| Model Type | gpt_neox |
| Model Files | |
| Model Architecture | GPTNeoXForCausalLM |
| Context Length | 2048 |
| Model Max Length | 2048 |
| Transformers Version | 4.28.0.dev0 |
| Tokenizer Class | GPTNeoXTokenizer |
| Vocabulary Size | 50288 |
| Torch Data Type | bfloat16 |
Best Alternatives to Pythia 1.4B Sft Policy
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Pythia 1.4B Deduped 8K Base | 8K / 7.3 GB | 12 | 1 |
| Pythia 1.4B Deduped 4K Base | 4K / 6.1 GB | 23 | 2 |
| Pythia 1.4B Sft Full | 2K / 2.8 GB | 10 | 1 |
| Pythia 1.4B | 2K / 2.9 GB | 68096 | 25 |
| Pythia Delphi Suboptimal | 2K / 5.7 GB | 13 | 0 |
| RCC Ins Reconstruction | 2K / 6.1 GB | 12 | 1 |
| Pythia 1.4B Deduped | 2K / 2.9 GB | 42378 | 19 |
| Pythia 1.4B Deduped Sharegpt | 2K / 2.8 GB | 18 | 2 |
| Pythia 1.4B Deduped Sharegpt | 2K / 2.8 GB | 15 | 0 |
| ShortKing 1.4B V0.1 | 2K / 2.8 GB | 872 | 2 |
Note: green Score (e.g. "73.2") means that the model is better than tlc4418/pythia_1.4b_sft_policy .
Rank the Pythia 1.4B Sft Policy Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227