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Upload folder using huggingface_hub

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README.md ADDED
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+ ---
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+ tags:
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+ - autotrain
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+ - text-generation-inference
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+ - text-generation
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+ - peft
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+ library_name: transformers
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+ widget:
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+ - messages:
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+ - role: user
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+ content: What is your favorite condiment?
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+ license: other
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+ ---
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+
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+ # Model Trained Using AutoTrain
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+
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+ This model was trained using AutoTrain. For more information, please visit [AutoTrain](https://hf.co/docs/autotrain).
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+
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+ # Usage
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+
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+ ```python
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+
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+ from transformers import AutoModelForCausalLM, AutoTokenizer
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+
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+ model_path = "PATH_TO_THIS_REPO"
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+
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+ tokenizer = AutoTokenizer.from_pretrained(model_path)
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+ model = AutoModelForCausalLM.from_pretrained(
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+ model_path,
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+ device_map="auto",
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+ torch_dtype='auto'
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+ ).eval()
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+
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+ # Prompt content: "hi"
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+ messages = [
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+ {"role": "user", "content": "hi"}
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+ ]
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+
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+ input_ids = tokenizer.apply_chat_template(conversation=messages, tokenize=True, add_generation_prompt=True, return_tensors='pt')
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+ output_ids = model.generate(input_ids.to('cuda'))
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+ response = tokenizer.decode(output_ids[0][input_ids.shape[1]:], skip_special_tokens=True)
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+
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+ # Model response: "Hello! How can I assist you today?"
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+ print(response)
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+ ```
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+ {
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+ "alpha_pattern": {},
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+ "base_model_name_or_path": "HuggingFaceH4/zephyr-7b-beta",
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+ "loftq_config": {},
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+ "lora_alpha": 32,
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+ "lora_dropout": 0.05,
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+ "megatron_config": null,
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+ "megatron_core": "megatron.core",
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+ "modules_to_save": null,
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+ "peft_type": "LORA",
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+ "r": 16,
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+ "rank_pattern": {},
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+ "revision": null,
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+ "target_modules": [
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+ "v_proj",
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+ "gate_proj",
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+ "down_proj",
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+ "o_proj",
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+ "up_proj",
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+ "k_proj",
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+ "q_proj"
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+ ],
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+ "task_type": "CAUSAL_LM",
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+ "use_dora": false,
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+ "use_rslora": false
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+ }
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+ {
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+ "<unk>",
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+ "<s>",
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+ "bos_token": {
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+ {
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+ "add_bos_token": true,
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+ "add_eos_token": false,
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+ "<unk>",
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+ "<s>",
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+ ],
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+ "bos_token": "<s>",
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+ "chat_template": "{% for message in messages %}\n{% if message['role'] == 'user' %}\n{{ '<|user|>\n' + message['content'] + eos_token }}\n{% elif message['role'] == 'system' %}\n{{ '<|system|>\n' + message['content'] + eos_token }}\n{% elif message['role'] == 'assistant' %}\n{{ '<|assistant|>\n' + message['content'] + eos_token }}\n{% endif %}\n{% if loop.last and add_generation_prompt %}\n{{ '<|assistant|>' }}\n{% endif %}\n{% endfor %}",
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+ "clean_up_tokenization_spaces": false,
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+ "eos_token": "</s>",
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+ "legacy": true,
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+ "tokenizer_class": "LlamaTokenizer",
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+ "truncation_side": "left",
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+ "unk_token": "<unk>",
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+ "use_default_system_prompt": true
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+ }
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+ {
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+ "model": "HuggingFaceH4/zephyr-7b-beta",
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+ "project_name": "FDA-guidance-zephyr-7b-beta",
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+ "data_path": "FDA-guidance-zephyr-7b-beta/autotrain-data",
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+ "seed": 42,
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+ "chat_template": "none",
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+ "quantization": "int4",
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+ "push_to_hub": true,
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+ "repo_id": "yitzshapiro/FDA-guidance-zephyr-7b-beta",
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+ "username": "yitzshapiro"
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+ }