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README.md ADDED
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+ ---
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+ license: apache-2.0
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+ language:
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+ - en
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+ ---
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+
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+ # **Introduction**
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+ We introduce luxia-21.4b-alignment-v1.0, an instruction-tuned and alignment model based on luxia-21.4b.
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+ Please refer to the evaluation results table for details.
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+
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+ # **Instruction Fine-tuning Strategy**
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+ We utilize state-of-the-art instruction fine-tuning methods including supervised fine-tuning (SFT) and direct preference optimization (DPO)
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+
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+ # **Data Contamination Test Results**
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+ Results will be updated soon.
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+
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+ # **Evaluation Results**
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+ Results will be updated soon.
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+
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+
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+ # **Usage Instructions**
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+
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+ ### **How to use**
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+ ```python
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+ # pip install transformers==4.35.2
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+ import torch
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+ from transformers import AutoModelForCausalLM, AutoTokenizer
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+
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+ tokenizer = AutoTokenizer.from_pretrained("saltlux/luxia-21.4b-alignment-v0.1")
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+ model = AutoModelForCausalLM.from_pretrained(
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+ "saltlux/luxia-21.4b-alignment-v0.1",
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+ device_map="auto",
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+ torch_dtype=torch.float16,
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+ )
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+ ```
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+
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+ ### **License**
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+ - [saltlux/luxia-21.4b-alignment-v1.0](https://huggingface.co/saltlux/luxia-21.4b-alignment-v1.0): apache-2.0
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+
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+
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+ ### **Contact Us** ###
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+ Any questions and suggestions are welcomed at the discussion tab.
config.json ADDED
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+ {
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+ "_name_or_path": "saltlux/luxia-21.4b-alignment-v1.0",
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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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+ "attention_dropout": 0.0,
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+ "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": 6144,
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+ "initializer_range": 0.02,
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+ "intermediate_size": 16384,
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+ "max_position_embeddings": 32768,
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+ "model_type": "llama",
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+ "num_attention_heads": 48,
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+ "num_hidden_layers": 52,
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+ "num_key_value_heads": 8,
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+ "pad_token_id": 2,
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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": 1000000,
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+ "tie_word_embeddings": false,
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+ "torch_dtype": "bfloat16",
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+ "transformers_version": "4.37.2",
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+ "use_cache": false,
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+ "vocab_size": 92544,
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+ "quantization_config": {
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+ "quant_method": "exl2",
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+ "version": "0.0.15",
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+ "bits": 4.65,
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+ "head_bits": 6,
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+ "calibration": {
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+ "rows": 100,
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+ "length": 2048,
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+ "dataset": "(default)"
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+ }
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+ }
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+ }
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