Pythia 70M Wikipedia Paragraphs is an open-source language model by agentlans. Features: 70m LLM, VRAM: 0.3GB, Context: 2K, License: apache-2.0, LLM Explorer Score: 0.16.
Base model:eleutherai/pythia-7... Base model:finetune:eleutherai... Dataset:agentlans/wikipedia-pa... En Gpt neox Model-index Pythia Region:us Safetensors Wikipedia
Model Card on HF 🤗: https://huggingface.co/agentlans/pythia-70m-wikipedia-paragraphs
Pythia 70M Wikipedia Paragraphs 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 70M Wikipedia Paragraphs Parameters and Internals
| LLM Name | Pythia 70M Wikipedia Paragraphs |
| Repository 🤗 | https://huggingface.co/agentlans/pythia-70m-wikipedia-paragraphs |
| Base Model(s) | |
| Model Size | 70m |
| Required VRAM | 0.3 GB |
| Updated | 2026-04-19 |
| Maintainer | agentlans |
| Model Type | gpt_neox |
| Model Files | |
| Supported Languages | en |
| Model Architecture | GPTNeoXForCausalLM |
| License | apache-2.0 |
| Context Length | 2048 |
| Model Max Length | 2048 |
| Transformers Version | 4.45.2 |
| Tokenizer Class | GPTNeoXTokenizer |
| Vocabulary Size | 50304 |
| Torch Data Type | float32 |
Best Alternatives to Pythia 70M Wikipedia Paragraphs
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Pythia 70M Deduped | 2K / 0.2 GB | 1699336 | 28 |
| Pythia 70M | 2K / 0.2 GB | 655052 | 81 |
| Pythia 70m Sft Hh | 2K / 0.1 GB | 5 | 0 |
| Pythia 70M Multi | 2K / 0.3 GB | 6 | 0 |
| Pythia Chinese 70M UDN | 2K / 0.2 GB | 18 | 0 |
| Pythia 70m Sft | 2K / 0.3 GB | 7 | 0 |
| ...a 70M Deduped Cleansharegpt En | 2K / 0.3 GB | 969 | 0 |
| ...thia 70M Deduped Cleansharegpt | 2K / 0.3 GB | 982 | 1 |
| ...ythia 70M Deduped Step44k 92bt | 2K / 0.2 GB | 1020 | 0 |
| Chessdevilai | 2K / 0.3 GB | 5 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than agentlans/pythia-70m-wikipedia-paragraphs .
Rank the Pythia 70M Wikipedia Paragraphs Capabilities
🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟
What open-source LLMs or SLMs are you in search of? 53999 in total.
Original data from HuggingFace, OpenCompass and various public git repos.
Check out Ag3ntum — our secure, self-hosted AI agent for server management.
Release v20260328a