README.md

---
language:
- en
license: apache-2.0
model-index:
- name: luxia-21.4b-alignment-v1.0
 results:
 - task:
 type: text-generation
 name: Text Generation
 dataset:
 name: IFEval (0-Shot)
 type: HuggingFaceH4/ifeval
 args:
 num_few_shot: 0
 metrics:
 - type: inst_level_strict_acc and prompt_level_strict_acc
 value: 36.93
 name: strict accuracy
 source:
 url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=saltlux/luxia-21.4b-alignment-v1.0
 name: Open LLM Leaderboard
 - task:
 type: text-generation
 name: Text Generation
 dataset:
 name: BBH (3-Shot)
 type: BBH
 args:
 num_few_shot: 3
 metrics:
 - type: acc_norm
 value: 48.02
 name: normalized accuracy
 source:
 url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=saltlux/luxia-21.4b-alignment-v1.0
 name: Open LLM Leaderboard
 - task:
 type: text-generation
 name: Text Generation
 dataset:
 name: MATH Lvl 5 (4-Shot)
 type: hendrycks/competition_math
 args:
 num_few_shot: 4
 metrics:
 - type: exact_match
 value: 6.19
 name: exact match
 source:
 url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=saltlux/luxia-21.4b-alignment-v1.0
 name: Open LLM Leaderboard
 - task:
 type: text-generation
 name: Text Generation
 dataset:
 name: GPQA (0-shot)
 type: Idavidrein/gpqa
 args:
 num_few_shot: 0
 metrics:
 - type: acc_norm
 value: 6.82
 name: acc_norm
 source:
 url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=saltlux/luxia-21.4b-alignment-v1.0
 name: Open LLM Leaderboard
 - task:
 type: text-generation
 name: Text Generation
 dataset:
 name: MuSR (0-shot)
 type: TAUR-Lab/MuSR
 args:
 num_few_shot: 0
 metrics:
 - type: acc_norm
 value: 12.51
 name: acc_norm
 source:
 url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=saltlux/luxia-21.4b-alignment-v1.0
 name: Open LLM Leaderboard
 - task:
 type: text-generation
 name: Text Generation
 dataset:
 name: MMLU-PRO (5-shot)
 type: TIGER-Lab/MMLU-Pro
 config: main
 split: test
 args:
 num_few_shot: 5
 metrics:
 - type: acc
 value: 26.7
 name: accuracy
 source:
 url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=saltlux/luxia-21.4b-alignment-v1.0
 name: Open LLM Leaderboard
---

# **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.
# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard)
Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_saltlux__luxia-21.4b-alignment-v1.0)

| Metric |Value|
|-------------------|----:|
|Avg. |22.86|
|IFEval (0-Shot) |36.93|
|BBH (3-Shot) |48.02|
|MATH Lvl 5 (4-Shot)| 6.19|
|GPQA (0-shot) | 6.82|
|MuSR (0-shot) |12.51|
|MMLU-PRO (5-shot) |26.70|