初始化项目,由ModelHub XC社区提供模型
Model: RatanRohith/NeuralPizza-7B-V0.2 Source: Original Platform
This commit is contained in:
23
README.md
Normal file
23
README.md
Normal file
@@ -0,0 +1,23 @@
|
||||
---
|
||||
library_name: Transformers
|
||||
tags:
|
||||
- transformers
|
||||
- fine-tuned
|
||||
- language-modeling
|
||||
- direct-preference-optimization
|
||||
datasets:
|
||||
- Intel/orca_dpo_pairs
|
||||
license: apache-2.0
|
||||
---
|
||||
|
||||
## Model Description
|
||||
|
||||
NeuralPizza-7B-V0.2 is a fine-tuned version of the RatanRohith/NeuralMathChat-7B-V0.2 model, specialized through Direct Preference Optimization (DPO). It was fine-tuned using the Intel/orca_dpo_pairs dataset, focusing on enhancing model performance based on preference comparisons.
|
||||
|
||||
## Intended Use
|
||||
|
||||
This model is primarily intended for research and experimental applications in language modeling, especially for exploring the Direct Preference Optimization method. It provides insights into the nuances of DPO in the context of language model tuning.
|
||||
|
||||
## Training Data
|
||||
|
||||
The model was fine-tuned using the Intel/orca_dpo_pairs dataset. This dataset is designed for applying and testing Direct Preference Optimization techniques in language models.
|
||||
Reference in New Issue
Block a user