Model: RedHatAI/Mistral-7B-Instruct-v0.3-GPTQ-4bit
Author: RedHatAI
Pipeline: text-generation
Library: transformers
Tags: transformers, safetensors, mistral, text-generation, conversational, base_model:mistralai/Mistral-7B-Instruct-v0.3, base_model:quantized:mistralai/Mistral-7B-Instruct-v0.3, license:apache-2.0, model-index, text-generation-inference, endpoints_compatible, 4-bit, gptq, region:us
Base models (quantized): id: mistralai/Mistral-7B-Instruct-v0.3
Card metadata: license: apache-2.0
base_model: mistralai/Mistral-7B-Instruct-v0.3
model-index: name: Mistral-7B-Instruct-v0.3-GPTQ-4bit
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: 63.4
verified: no, 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: 84.04
verified: no, 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: 57.48
verified: no, 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: 45.41
verified: no, 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: 61.07
verified: no, 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: 79.08
verified: no
Likes: 23 | All-time downloads: 1321417
Created: 2024-05-23 00:33:40