metadata

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 but saved explicitly in fp32 - see safetensors params. It is smaller than the other 'official' checkpoints included in the Pythia study.

config/info

{
  "_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
}