https://huggingface.co/kaist-ai/mistral-orpo-capybara-7k
38 Pulls Updated 8 months ago
Updated 8 months ago
8 months ago
e9781183b452 · 5.1GB
model
archllama
·
parameters7.24B
·
quantizationQ5_K_M
5.1GB
template
<|system|>
{{ .System }}</s>
<|user|>
{{ .Prompt }}</s>
<|assistant|>
73B
params
{"stop":["\u003c|system|\u003e","\u003c|user|\u003e","\u003c|assistant|\u003e","\u003c/s\u003e"]}
98B
Readme
Mistral-ORPO-Capybara-7k (7B)
Mistral-ORPO is a fine-tuned version of mistralai/Mistral-7B-v0.1 using the odds ratio preference optimization (ORPO). With ORPO, the model directly learns the preference without the supervised fine-tuning warmup phase.
Mistral-ORPO-ORPO-Capybara-7k is fine-tuned for 2.5 hours on four A100s exclusively on the 7k instances of the distilled Capybara paired multi-turn conversation dataset, argilla/distilabel-capybara-dpo-7k-binarized, by Argilla.
- Github Repository: https://github.com/xfactlab/orpo
👍 Model Performance
1) AlpacaEval & MT-Bench
Model Name | Size | Align | MT-Bench | AlpacaEval 2.0 (LC) |
---|---|---|---|---|
Mistral-ORPO-Capybara-7k | 7B | ORPO | 7.44 | 15.9 |
Mistral-ORPO-β | 7B | ORPO | 7.32 | 14.7 |
Zephyr β | 7B | DPO | 7.34 | 13.2 |
TULU-2-DPO | 13B | DPO | 7.00 | 11.6 |
Llama-2-Chat | 7B | RLHF | 6.27 | 5.4 |
Llama-2-Chat | 13B | RLHF | 6.65 | 8.4 |
2) IFEval
Model Type | Prompt-Strict | Prompt-Loose | Inst-Strict | Inst-Loose |
---|---|---|---|---|
Mistral-ORPO-Capybara-7k | 0.5083 | 0.5083 | 0.5827 | 0.6127 |
Mistral-ORPO-⍺ | 0.5009 | 0.5083 | 0.5995 | 0.6163 |
Mistral-ORPO-β | 0.5287 | 0.5564 | 0.6355 | 0.6619 |