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aws-neuron
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Llama-2-7b-chat-hf-seqlen-2048-bs-4

Text Generation
Transformers
PyTorch
English
llama
facebook
meta
llama-2
inferentia2
neuron
conversational
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  2. README.md +77 -0
  3. checkpoint/config.json +27 -0
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.gitattributes CHANGED
@@ -33,3 +33,13 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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  *.zip filter=lfs diff=lfs merge=lfs -text
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  *.zst filter=lfs diff=lfs merge=lfs -text
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  *tfevents* filter=lfs diff=lfs merge=lfs -text
 
 
 
 
 
 
 
 
 
 
 
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  *.zip filter=lfs diff=lfs merge=lfs -text
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  *.zst filter=lfs diff=lfs merge=lfs -text
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  *tfevents* filter=lfs diff=lfs merge=lfs -text
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+ compiled/0f12364c693e4bc350d6.neff filter=lfs diff=lfs merge=lfs -text
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+ compiled/11542220b8bf801e13f2.neff filter=lfs diff=lfs merge=lfs -text
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+ compiled/36e1ce7aff5023dcef55.neff filter=lfs diff=lfs merge=lfs -text
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+ compiled/3ef740eb467f762c3c93.neff filter=lfs diff=lfs merge=lfs -text
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+ compiled/59693de3aebe4137f425.neff filter=lfs diff=lfs merge=lfs -text
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+ compiled/6e492ea2fcb8c4365957.neff filter=lfs diff=lfs merge=lfs -text
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+ compiled/8df171844a096fe60a5c.neff filter=lfs diff=lfs merge=lfs -text
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+ compiled/97cb854bca564e595f78.neff filter=lfs diff=lfs merge=lfs -text
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README.md ADDED
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+ ---
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+ language:
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+ - en
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+ tags:
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+ - facebook
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+ - meta
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+ - pytorch
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+ - llama
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+ - llama-2
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+ - inferentia2
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+ - neuron
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+ extra_gated_heading: Access Llama 2 on Hugging Face
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+ extra_gated_description: This is a form to enable access to Llama 2 on Hugging Face
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+ after you have been granted access from Meta. Please visit the [Meta website](https://ai.meta.com/resources/models-and-libraries/llama-downloads)
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+ and accept our license terms and acceptable use policy before submitting this form.
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+ Requests will be processed in 1-2 days.
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+ extra_gated_prompt: '**Your Hugging Face account email address MUST match the email
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+ you provide on the Meta website, or your request will not be approved.**'
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+ extra_gated_button_content: Submit
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+ extra_gated_fields:
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+ ? I agree to share my name, email address and username with Meta and confirm that
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+ I have already been granted download access on the Meta website
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+ : checkbox
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+ pipeline_tag: text-generation
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+ inference: false
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+ arxiv: 2307.09288
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+ ---
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+ # Neuronx model for [meta-llama/Llama-2-7b-chat-hf](https://huggingface.co/meta-llama/Llama-2-7b-chat-hf)
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+
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+ This repository contains are [**AWS Inferentia2**](https://aws.amazon.com/ec2/instance-types/inf2/) and [`neuronx`](https://awsdocs-neuron.readthedocs-hosted.com/en/latest/) compatible checkpoint for [meta-llama/Llama-2-7b-chat-hf](https://huggingface.co/meta-llama/Llama-2-7b-chat-hf). You can find detailed information about the base model on its [Model Card](https://huggingface.co/meta-llama/Llama-2-7b-chat-hf).
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+
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+ ## Usage on Amazon SageMaker
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+
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+ _coming soon_
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+
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+ ## Usage with optimum-neuron
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+
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+ ```python
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+
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+ from optimum.neuron import pipeline
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+
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+ # Load pipeline from Hugging Face repository
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+ pipe = pipeline("text-generation", "meta-llama/Llama-2-7b-chat-hf")
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+
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+ # We use the tokenizer's chat template to format each message - see https://huggingface.co/docs/transformers/main/en/chat_templating
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+ messages = [
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+ {"role": "user", "content": "What is 2+2?"},
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+ ]
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+ prompt = pipe.tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
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+ # Run generation
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+ outputs = pipe(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)
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+ print(outputs[0]["generated_text"])
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+
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+ ```
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+
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+ ## Compilation Arguments
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+
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+ **compilation arguments**
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+
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+ ```json
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+ {
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+ "num_cores": 2,
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+ "auto_cast_type": "fp16"
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+ }
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+ ```
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+
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+ **input_shapes**
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+
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+ ```json
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+ {
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+ "sequence_length": 2048,
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+ "batch_size": 4
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+ }
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+ ```
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+
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+
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+
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+ {
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+ "_name_or_path": "meta-llama/Llama-2-7b-chat-hf",
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+ "architectures": [
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+ "LlamaForCausalLM"
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+ ],
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+ "attention_bias": false,
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+ "bos_token_id": 1,
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+ "eos_token_id": 2,
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+ "hidden_act": "silu",
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+ "hidden_size": 4096,
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+ "initializer_range": 0.02,
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+ "intermediate_size": 11008,
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+ "max_position_embeddings": 4096,
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+ "model_type": "llama",
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+ "num_attention_heads": 32,
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+ "num_hidden_layers": 32,
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+ "num_key_value_heads": 32,
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+ "pretraining_tp": 1,
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+ "rms_norm_eps": 1e-05,
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+ "rope_scaling": null,
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+ "rope_theta": 10000.0,
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+ "tie_word_embeddings": false,
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+ "torch_dtype": "float32",
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+ "transformers_version": "4.34.1",
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+ "use_cache": true,
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+ "vocab_size": 32000
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+ }
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+ "pad_token_id": 0,
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+ "temperature": 0.6,
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+ "top_p": 0.9,
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+ "transformers_version": "4.34.1"
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