Model: bartowski/mistral-orpo-beta-exl2
Author: bartowski
Pipeline: text-generation
Tags: text-generation, en, dataset:argilla/ultrafeedback-binarized-preferences-cleaned, base_model:mistralai/Mistral-7B-v0.1, base_model:finetune:mistralai/Mistral-7B-v0.1, license:mit, model-index, region:us
Base models (finetune): id: mistralai/Mistral-7B-v0.1
Card metadata: language: en
license: mit
base_model: mistralai/Mistral-7B-v0.1
datasets: argilla/ultrafeedback-binarized-preferences-cleaned
pipeline_tag: text-generation
model-index: name: Mistral-ORPO-β
results: task: type: text-generation
name: Text Generation
dataset: name: AI2 Reasoning Challenge (25-Shot)
type: ai2_arc
config: ARC-Challenge
split: test
args: num_few_shot: 25
metrics: type: acc_norm
name: normalized accuracy
value: 61.18
verified: no
source: name: Open LLM Leaderboard
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=kaist-ai%2Fmistral-orpo-beta, task: type: text-generation
name: Text Generation
dataset: name: HellaSwag (10-Shot)
type: hellaswag
split: validation
args: num_few_shot: 10
metrics: type: acc_norm
name: normalized accuracy
value: 84.03
verified: no
source: name: Open LLM Leaderboard
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=kaist-ai%2Fmistral-orpo-beta, task: type: text-generation
name: Text Generation
dataset: name: TruthfulQA (0-shot)
type: truthful_qa
config: multiple_choice
split: validation
args: num_few_shot: 0
metrics: type: mc2
value: 47.69
verified: no
source: name: Open LLM Leaderboard
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=kaist-ai%2Fmistral-orpo-beta, task: type: text-generation
name: Text Generation
dataset: name: GSM8k (5-shot)
type: gsm8k
config: main
split: test
args: num_few_shot: 5
metrics: type: acc
name: accuracy
value: 39.8
verified: no
source: name: Open LLM Leaderboard
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=kaist-ai%2Fmistral-orpo-beta, task: type: text-generation
name: Text Generation
dataset: name: MMLU (5-Shot)
type: cais/mmlu
config: all
split: test
args: num_few_shot: 5
metrics: type: acc
name: accuracy
value: 63.26
verified: no
source: name: Open LLM Leaderboard
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=kaist-ai%2Fmistral-orpo-beta, task: type: text-generation
name: Text Generation
dataset: name: Winogrande (5-shot)
type: winogrande
config: winogrande_xl
split: validation
args: num_few_shot: 5
metrics: type: acc
name: accuracy
value: 79.24
verified: no
source: name: Open LLM Leaderboard
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=kaist-ai%2Fmistral-orpo-beta, task: type: text-generation
dataset: name: AlpacaEval 1
type: AlpacaEval
metrics: type: AlpacaEval 1.0
value: 91.16%
name: Win Rate
verified: no
source: url: https://tatsu-lab.github.io/alpaca_eval/
name: Leaderboard, task: type: text-generation
dataset: name: AlpacaEval 2
type: AlpacaEval
metrics: type: AlpacaEval 2.0
value: 12.57%
name: Win Rate
verified: no
source: url: https://tatsu-lab.github.io/alpaca_eval/
name: Leaderboard, task: type: text-generation
dataset: name: MT-Bench
type: MT-Bench
metrics: type: MT-Bench
value: 7.322
name: Score
verified: no
source: url: https://github.com/lm-sys/FastChat/blob/main/fastchat/llm_judge/
name: self-reported
quantized_by: bartowski
Likes: 0 | All-time downloads: 13
Created: 2024-03-19 02:12:38