GALAXY V03 Slimorca 1 Epoch 50K DPO 1 Epoch 30K by TeeZee

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  Autotrain compatible   Conversational Dataset:allenai/ultrafeedback ...   Dataset:open-orca/slimorca   En   Endpoints compatible   Llama   Model-index   Region:us   Safetensors   Sharded   Tensorflow

GALAXY V03 Slimorca 1 Epoch 50k DPO 1 Epoch 30k Benchmarks

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GALAXY V03 Slimorca 1 Epoch 50K DPO 1 Epoch 30K Parameters and Internals

Model Type 
text-generation
Additional Notes 
Experiment, can DUS be taken one or more steps further?
Training Details 
Data Sources:
Open-Orca/SlimOrca, allenai/ultrafeedback_binarized_cleaned
Methodology:
model v03 finetuned on 50k entries from SlimOrca dataset and then DPO on 30k entries from ultrachat
Model Architecture:
12 layers removed from both models, 4 more than in original paper but its 1/4 of all layers(48) as per original paper
LLM NameGALAXY V03 Slimorca 1 Epoch 50k DPO 1 Epoch 30k
Repository ๐Ÿค—https://huggingface.co/TeeZee/GALAXY_v03_slimorca_1_epoch_50k_DPO_1_epoch_30k 
Model Size16b
Required VRAM31.8 GB
Updated2024-12-02
MaintainerTeeZee
Model Typellama
Model Files  4.9 GB: 1-of-7   5.0 GB: 2-of-7   4.9 GB: 3-of-7   4.9 GB: 4-of-7   5.0 GB: 5-of-7   4.9 GB: 6-of-7   2.2 GB: 7-of-7
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length4096
Model Max Length4096
Transformers Version4.39.1
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size32000
Torch Data Typebfloat16
GALAXY V03 Slimorca 1 Epoch 50K DPO 1 Epoch 30K (TeeZee/GALAXY_v03_slimorca_1_epoch_50k_DPO_1_epoch_30k)

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Note: green Score (e.g. "73.2") means that the model is better than TeeZee/GALAXY_v03_slimorca_1_epoch_50k_DPO_1_epoch_30k.

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124