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README.md

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+---
+license: apache-2.0
+language:
+  - en
+---
+
+# **Introduction**
+We introduce luxia-21.4b-alignment-v1.0, an instruction-tuned and alignment model based on luxia-21.4b.
+Please refer to the evaluation results table for details.
+
+# **Instruction Fine-tuning Strategy**
+We utilize state-of-the-art instruction fine-tuning methods including supervised fine-tuning (SFT) and direct preference optimization (DPO)
+
+# **Data Contamination Test Results**
+Results will be updated soon.
+
+# **Evaluation Results**
+Results will be updated soon.
+
+
+# **Usage Instructions**
+
+### **How to use**
+```python
+# pip install transformers==4.35.2
+import torch
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+tokenizer = AutoTokenizer.from_pretrained("saltlux/luxia-21.4b-alignment-v0.1")
+model = AutoModelForCausalLM.from_pretrained(
+    "saltlux/luxia-21.4b-alignment-v0.1",
+    device_map="auto",
+    torch_dtype=torch.float16,
+)
+```
+
+### **License**
+- [saltlux/luxia-21.4b-alignment-v1.0](https://huggingface.co/saltlux/luxia-21.4b-alignment-v1.0): apache-2.0
+
+
+### **Contact Us** ###
+Any questions and suggestions are welcomed at the discussion tab.

config.json

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+{
+    "_name_or_path": "saltlux/luxia-21.4b-alignment-v1.0",
+    "architectures": [
+        "LlamaForCausalLM"
+    ],
+    "attention_bias": false,
+    "attention_dropout": 0.0,
+    "bias": false,
+    "bos_token_id": 1,
+    "eos_token_id": 2,
+    "hidden_act": "silu",
+    "hidden_size": 6144,
+    "initializer_range": 0.02,
+    "intermediate_size": 16384,
+    "max_position_embeddings": 32768,
+    "model_type": "llama",
+    "num_attention_heads": 48,
+    "num_hidden_layers": 52,
+    "num_key_value_heads": 8,
+    "pad_token_id": 2,
+    "pretraining_tp": 1,
+    "rms_norm_eps": 1e-05,
+    "rope_scaling": null,
+    "rope_theta": 1000000,
+    "tie_word_embeddings": false,
+    "torch_dtype": "bfloat16",
+    "transformers_version": "4.37.2",
+    "use_cache": false,
+    "vocab_size": 92544,
+    "quantization_config": {
+        "quant_method": "exl2",
+        "version": "0.0.15",
+        "bits": 3.0,
+        "head_bits": 6,
+        "calibration": {
+            "rows": 100,
+            "length": 2048,
+            "dataset": "(default)"
+        }
+    }
+}

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