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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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+ library_name: transformers
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+ base_model: LLM-CLEM/Charlotte-amity
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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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+ datasets:
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+ - LLM-CLEM/Charlotte-alignement
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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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+ }
config.json ADDED
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+ {
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+ "_name_or_path": "LLM-CLEM/Charlotte-amity",
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+ "activation_function": "gelu_new",
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+ "architectures": [
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+ "GPT2LMHeadModel"
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+ ],
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+ "attn_pdrop": 0.1,
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+ "bos_token_id": 50256,
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+ "dtype": "float32",
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+ "embd_pdrop": 0.1,
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+ "initializer_range": 0.02,
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+ "layer_norm_epsilon": 1e-05,
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+ "n_positions": 128,
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+ "reorder_and_upcast_attn": false,
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+ "resid_pdrop": 0.1,
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+ "scale_attn_by_inverse_layer_idx": false,
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+ "scale_attn_weights": true,
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+ "summary_activation": null,
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+ "summary_first_dropout": 0.1,
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+ "summary_proj_to_labels": true,
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+ "summary_type": "cls_index",
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+ "summary_use_proj": true,
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+ "torch_dtype": "float32",
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+ "transformers_version": "4.48.0",
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+ "use_cache": true,
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+ "vocab_size": 50258
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+ }
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tokenizer.json ADDED
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tokenizer_config.json ADDED
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+ "bos_token": "<|endoftext|>",
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+ "chat_template": "{%- for message in messages -%}\n {{ '### Instruction:\\n' + message.content + '\\n\\n' }}\n{%- endfor -%}\n{{ '### Response:\\n' }}",
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+ "clean_up_tokenization_spaces": false,
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+ {
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+ "model": "LLM-CLEM/Charlotte-amity",
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+ "project_name": "Charlotte-Test-aligne",
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+ "data_path": "LLM-CLEM/Charlotte-alignement",
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+ "seed": 42,
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+ "chat_template": "none",
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+ "quantization": "int4",
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+ "target_modules": "all-linear",
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+ "text_column": "chosen",
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+ "push_to_hub": true,
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+ "username": "Clemylia",
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+ "unsloth": false,
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+ "distributed_backend": "ddp"
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+ }
vocab.json ADDED
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