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LICENSE.txt

@@ -0,0 +1,126 @@
+LLAMA 2 COMMUNITY LICENSE AGREEMENT	
+Llama 2 Version Release Date: July 18, 2023
+
+"Agreement" means the terms and conditions for use, reproduction, distribution and 
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+libraries/llama-downloads/.
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+

README.md

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+---
+language:
+- en
+pipeline_tag: text-generation
+inference: false
+tags:
+- facebook
+- meta
+- pytorch
+- llama
+- llama-2
+- inferentia2
+- neuron
+---
+# Neuronx model for [meta-llama/Llama-2-7b-hf](https://huggingface.co/meta-llama/Llama-2-7b-hf)
+
+This repository contains [**AWS Inferentia2**](https://aws.amazon.com/ec2/instance-types/inf2/) and [`neuronx`](https://awsdocs-neuron.readthedocs-hosted.com/en/latest/) compatible checkpoints for [meta-llama/Llama-2-7b-hf](https://huggingface.co/meta-llama/Llama-2-7b-hf).
+You can find detailed information about the base model on its [Model Card](https://huggingface.co/meta-llama/Llama-2-7b-hf).
+
+This model has been exported to the `neuron` format using specific `input_shapes` and `compiler` parameters detailed in the paragraphs below.
+
+Please refer to the 🤗 `optimum-neuron` [documentation](https://huggingface.co/docs/optimum-neuron/main/en/guides/models#configuring-the-export-of-a-generative-model) for an explanation of these parameters.
+
+## Usage on Amazon SageMaker
+
+_coming soon_
+
+## Usage with 🤗 `optimum-neuron`
+
+```python
+>>> from optimum.neuron import pipeline
+
+>>> p = pipeline('text-generation', 'aws-neuron/Llama-2-7b-hf-neuron-latency')
+>>> p("My favorite place on earth is", max_new_tokens=64, do_sample=True, top_k=50)
+[{'generated_text': 'My favorite place on earth is the ocean. It is where I feel most
+at peace. I love to travel and see new places. I have a'}]
+```
+
+This repository contains tags specific to versions of `neuronx`. When using with 🤗 `optimum-neuron`, use the repo revision specific to the version of `neuronx` you are using, to load the right serialized checkpoints.
+
+## Arguments passed during export
+
+**input_shapes**
+
+```json
+{
+  "batch_size": 1,
+  "sequence_length": 2048,
+}
+```
+
+**compiler_args**
+
+```json
+{
+  "auto_cast_type": "fp16",
+  "num_cores": 24,
+}
+```
+

checkpoint/config.json

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+{
+  "_name_or_path": "meta-llama/Llama-2-7b-hf",
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "attention_bias": false,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "hidden_act": "silu",
+  "hidden_size": 4096,
+  "initializer_range": 0.02,
+  "intermediate_size": 11008,
+  "max_position_embeddings": 4096,
+  "model_type": "llama",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 32,
+  "num_key_value_heads": 32,
+  "pretraining_tp": 1,
+  "rms_norm_eps": 1e-05,
+  "rope_scaling": null,
+  "rope_theta": 10000.0,
+  "tie_word_embeddings": false,
+  "torch_dtype": "float32",
+  "transformers_version": "4.34.1",
+  "use_cache": true,
+  "vocab_size": 32000
+}

checkpoint/generation_config.json

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+{
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+  "do_sample": true,
+  "eos_token_id": 2,
+  "max_length": 4096,
+  "pad_token_id": 0,
+  "temperature": 0.6,
+  "top_p": 0.9,
+  "transformers_version": "4.34.1"
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