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README.md
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- en
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pipeline_tag: text-generation
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base_model: EleutherAI/pythia-31m
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---
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# pythia-31m (fp32)
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- en
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pipeline_tag: text-generation
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base_model: EleutherAI/pythia-31m
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datasets:
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- EleutherAI/pile
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tags:
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- smol
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---
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# pythia-31m (fp32)
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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.
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## config/info
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```json
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{
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"_name_or_path": "EleutherAI/pythia-31m",
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"architectures": [
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"GPTNeoXForCausalLM"
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],
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"attention_dropout": 0.0,
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"bos_token_id": 0,
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"classifier_dropout": 0.1,
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"eos_token_id": 0,
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"hidden_act": "gelu",
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"hidden_dropout": 0.0,
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"hidden_size": 256,
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"initializer_range": 0.02,
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"intermediate_size": 1024,
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"layer_norm_eps": 1e-05,
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"max_position_embeddings": 2048,
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"model_type": "gpt_neox",
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"num_attention_heads": 8,
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"num_hidden_layers": 6,
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"rope_scaling": null,
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"rotary_emb_base": 10000,
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"rotary_pct": 0.25,
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"tie_word_embeddings": false,
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"torch_dtype": "float32",
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"transformers_version": "4.33.1",
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"use_cache": true,
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"use_parallel_residual": true,
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"vocab_size": 50304
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}
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```
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