Model: ghost-x/ghost-7b-v0.9.1
Author: ghost-x
Pipeline: text-generation
Library: transformers
Tags: transformers, safetensors, mistral, text-generation, ghost, conversational, en, vi, license:mit, model-index, text-generation-inference, endpoints_compatible, region:us
Card metadata: language: en, vi
license: mit
library_name: transformers
tags: ghost
pipeline_tag: text-generation
model-index: name: ghost-7b-v0.9.1
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
value: 55.38
name: normalized accuracy
verified: no
source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=lamhieu/ghost-7b-v0.9.1
name: Open LLM Leaderboard, 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
value: 77.03
name: normalized accuracy
verified: no
source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=lamhieu/ghost-7b-v0.9.1
name: Open LLM Leaderboard, 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
value: 54.78
name: accuracy
verified: no
source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=lamhieu/ghost-7b-v0.9.1
name: Open LLM Leaderboard, 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: 43.96
verified: no
source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=lamhieu/ghost-7b-v0.9.1
name: Open LLM Leaderboard, 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
value: 72.53
name: accuracy
verified: no
source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=lamhieu/ghost-7b-v0.9.1
name: Open LLM Leaderboard, 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
value: 26.91
name: accuracy
verified: no
source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=lamhieu/ghost-7b-v0.9.1
name: Open LLM Leaderboard
widget: text: How many helicopters can a human eat in one sitting
output: text: Ahoy, me matey! A human can eat approximately one helicopter in one sitting, but only if they're a giant sea monster with a stomach the size of a small country. 🤢🤢 So, it's not advisable to try this, pirate! 🏰🛢️
Likes: 12 | All-time downloads: 40802
Created: 2024-02-21 18:20:30