Pythia 160M Xsum Roya is an open-source language model by mia-llm. Features: 160m LLM, VRAM: 0.6GB, Context: 2K, LLM Explorer Score: 0.17.
Base model:eleutherai/pythia-1... Base model:finetune:eleutherai... Endpoints compatible Generated from trainer Gpt neox Region:us Safetensors Sft Tensorboard Trl
Model Card on HF 🤗: https://huggingface.co/mia-llm/pythia-160m-xsum-roya
Pythia 160M Xsum Roya 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 160M Xsum Roya Parameters and Internals
| LLM Name | Pythia 160M Xsum Roya |
| Repository 🤗 | https://huggingface.co/mia-llm/pythia-160m-xsum-roya |
| Model Name | pythia-160m-None.9.3 |
| Base Model(s) | |
| Model Size | 160m |
| Required VRAM | 0.6 GB |
| Updated | 2026-05-20 |
| Maintainer | mia-llm |
| Model Type | gpt_neox |
| Model Files | |
| Model Architecture | GPTNeoXForCausalLM |
| Context Length | 2048 |
| Model Max Length | 2048 |
| Transformers Version | 4.48.0 |
| Tokenizer Class | GPTNeoXTokenizer |
| Padding Token | <|endoftext|> |
| Vocabulary Size | 50304 |
| Torch Data Type | float32 |
Best Alternatives to Pythia 160M Xsum Roya
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Pythia 160M C2s | 8K / 0.6 GB | 1147 | 6 |
| Pythia 160M | 2K / 0.4 GB | 3095627 | 42 |
| Pythia 160M Deduped | 2K / 0.4 GB | 88866 | 3 |
| Pythia 160m Sft | 2K / 0 GB | 7 | 0 |
| Sheared Pythia 160M | 2K / 0.7 GB | 870 | 4 |
| Pythia 160M Dolphin Extended | 2K / 0.3 GB | 720 | 0 |
| ...hia 160M Deduped Step92k 193bt | 2K / 0.4 GB | 973 | 0 |
| Pythia 160M Storytelling | 2K / 0.3 GB | 9 | 0 |
| Pythia160m Sft Tldr | 2K / 0.6 GB | 10 | 0 |
| Pythia 160m Ft CookingRecipes | 2K / 0.6 GB | 5 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than mia-llm/pythia-160m-xsum-roya .
Rank the Pythia 160M Xsum Roya Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
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Release v20260328a