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Excalibur 7B DPO by InferenceIllusionist

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  Autotrain compatible Base model:finetune:inferencei... Base model:inferenceillusionis...   Chatml   Dataset:intel/orca dpo pairs   Dpo   Endpoints compatible   Finetuned   Mistral   Model-index   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/InferenceIllusionist/Excalibur-7b-DPO 

Excalibur 7B DPO Benchmarks

ARC: 70.9 vs 96.7 (so35)-26.7%
HellaSwag: 87.93 vs 95.3 (gpt4)-7.7%
MMLU: 65.46 vs 88.3 (so35)-25.9%
TruthfulQA: 70.82 vs 59 (gpt4)20%
WinoGrande: 82.48 vs 87.5 (gpt4)-5.7%
GSM8K: 65.43 vs 96.4 (so35)-32.1%
LLME Score: 0.1977
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Excalibur 7B DPO (InferenceIllusionist/Excalibur-7b-DPO)

Excalibur 7B DPO Parameters and Internals

Model Type 
text-generation
Additional Notes 
An initial foray into the world of fine-tuning aiming to amplify model's response quality for vision use cases.
Training Details 
Data Sources:
Intel/orca_dpo_pairs
Methodology:
Direct Preference Optimization (DPO)
Training Time:
a little over an hour
Hardware Used:
single A100 GPU
Input Output 
Input Format:
ChatML for best results, Alpaca may also work
LLM NameExcalibur 7B DPO
Repository 🤗https://huggingface.co/InferenceIllusionist/Excalibur-7b-DPO 
Base Model(s)  Excalibur 7B   InferenceIllusionist/Excalibur-7b
Model Size7b
Required VRAM14.4 GB
Updated2024-12-22
MaintainerInferenceIllusionist
Model Typemistral
Model Files  4.9 GB: 1-of-3   5.0 GB: 2-of-3   4.5 GB: 3-of-3
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.38.2
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than InferenceIllusionist/Excalibur-7b-DPO.

Rank the Excalibur 7B DPO Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241217
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