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Model: itsliupeng/openllama-7b-icl
Source: Original Platform

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README.md

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+---
+license: apache-2.0
+---
+Train openllama-7b with [in-context leanrning](https://arxiv.org/abs/2310.10638)
+
+
+A Reproduction of OpenLLaMA using 128 H100 GPUs in Bfloat16.
+
+The pretrain data consists of Falcon, Starcoder, and the wikipedia, arxiv, books, stackexchange from RedPajama. In total, this encompassed nearly 1 trillion tokens.
+
+The model was trained over a single epoch, incorporating 2000 warm-up steps and a cosine learning rate schedule, starting at 3e-5 with 4M batch size.
+
+
+The sole distinction from the [OpenLLaMA 7B Base](https://huggingface.co/itsliupeng/openllama-7b-base) lies in the organization of Falcon documents, which follows the methodology outlined in this [arXiv paper](https://arxiv.org/abs/2310.10638).
+
+
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/643fb889b9ba82afb66d6b36/Lr2Mup7QFuSSROrsRSzSP.png)
+

config.json

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+  ],
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+  "hidden_act": "silu",
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+  "initializer_range": 0.02,
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+  "max_position_embeddings": 2048,
+  "model_type": "llama",
+  "num_attention_heads": 32,
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+  "num_key_value_heads": 32,
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+  "pretraining_tp": 1,
+  "rms_norm_eps": 1e-06,
+  "rope_scaling": null,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.31.0",
+  "use_cache": true,
+  "vocab_size": 32000
+}

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