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---
license: apache-2.0
language:
- en
pipeline_tag: text-generation
base_model: EleutherAI/pythia-31m
datasets:
- EleutherAI/pile
tags:
- smol
---
# pythia-31m (fp32)
This is [EleutherAI/pythia-31m](https://huggingface.co/EleutherAI/pythia-31m) but saved explicitly in fp32 - see safetensors params. It is smaller than the other 'official' checkpoints included in the Pythia study.
## config/info
```json
{
"_name_or_path": "EleutherAI/pythia-31m",
"architectures": [
"GPTNeoXForCausalLM"
],
"attention_dropout": 0.0,
"bos_token_id": 0,
"classifier_dropout": 0.1,
"eos_token_id": 0,
"hidden_act": "gelu",
"hidden_dropout": 0.0,
"hidden_size": 256,
"initializer_range": 0.02,
"intermediate_size": 1024,
"layer_norm_eps": 1e-05,
"max_position_embeddings": 2048,
"model_type": "gpt_neox",
"num_attention_heads": 8,
"num_hidden_layers": 6,
"rope_scaling": null,
"rotary_emb_base": 10000,
"rotary_pct": 0.25,
"tie_word_embeddings": false,
"torch_dtype": "float32",
"transformers_version": "4.33.1",
"use_cache": true,
"use_parallel_residual": true,
"vocab_size": 50304
}
```
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