Instructions to use OpenAssistant/oasst-rm-2.1-pythia-1.4b-epoch-2.5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use OpenAssistant/oasst-rm-2.1-pythia-1.4b-epoch-2.5 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("OpenAssistant/oasst-rm-2.1-pythia-1.4b-epoch-2.5", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
8f3d779
1
Parent(s): 9f98469
Upload model
Browse files- config.json +26 -0
- pytorch_model.bin +3 -0
config.json
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{
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"_name_or_path": ".saved_models_rm/oasst-rm-2-pythia-1b/checkpoint-10000/",
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"architectures": [
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"GPTNeoXRewardModel"
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],
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"bos_token_id": 0,
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"eos_token_id": 0,
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"hidden_act": "gelu",
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"hidden_size": 2048,
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"initializer_range": 0.02,
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"intermediate_size": 8192,
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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_reward_model",
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"num_attention_heads": 16,
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"num_hidden_layers": 24,
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"pooling": "last",
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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": "4.28.0.dev0",
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"use_cache": true,
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"use_parallel_residual": true,
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"vocab_size": 50288
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}
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:1889c68280b018a7e282348ece5eebfc9ef59b00ba1b14baced7d4b4ca29d147
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size 5347161969
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