Model: QuantFactory/Llama3.2-3B-Esper2-GGUF
Author: QuantFactory
Pipeline: text-generation
Tags: gguf, esper, esper-2, valiant, valiant-labs, llama, llama-3.2, llama-3.2-instruct, llama-3.2-instruct-3b, llama-3, llama-3-instruct, llama-3-instruct-3b, 3b, code, code-instruct, python, dev-ops, terraform, azure, aws, gcp, architect, engineer, developer, conversational, chat, instruct, text-generation, en, dataset:sequelbox/Titanium, dataset:sequelbox/Tachibana, dataset:sequelbox/Supernova, base_model:meta-llama/Llama-3.2-3B-Instruct, base_model:quantized:meta-llama/Llama-3.2-3B-Instruct, license:llama3.2, model-index, endpoints_compatible, region:us
Base models (quantized): id: meta-llama/Llama-3.2-3B-Instruct
Card metadata: language: en
pipeline_tag: text-generation
tags: esper, esper-2, valiant, valiant-labs, llama, llama-3.2, llama-3.2-instruct, llama-3.2-instruct-3b, llama-3, llama-3-instruct, llama-3-instruct-3b, 3b, code, code-instruct, python, dev-ops, terraform, azure, aws, gcp, architect, engineer, developer, conversational, chat, instruct
base_model: meta-llama/Llama-3.2-3B-Instruct
datasets: sequelbox/Titanium, sequelbox/Tachibana, sequelbox/Supernova
model-index: name: ValiantLabs/Llama3.2-3B-Esper2
results: task: type: text-generation
name: Text Generation
dataset: name: Winogrande (5-Shot)
type: Winogrande
args: num_few_shot: 5
metrics: type: acc
value: 65.27
name: acc
verified: no, task: type: text-generation
name: Text Generation
dataset: name: ARC Challenge (25-Shot)
type: arc-challenge
args: num_few_shot: 25
metrics: type: acc_norm
value: 43.17
name: normalized accuracy
verified: no
model_type: llama
license: llama3.2
Likes: 3 | All-time downloads: 29744
Created: 2024-10-08 15:33:06