Model: Svngoku/Llama-3.1-8B-AlpaCare-MedInstruct-GGUF
Author: Svngoku
Pipeline: text-generation
Library: transformers
Tags: transformers, gguf, llama, text-generation-inference, unsloth, trl, text-generation, en, fr, de, hi, it, pt, es, th, dataset:lavita/AlpaCare-MedInstruct-52k, base_model:unsloth/Meta-Llama-3.1-8B-Instruct-bnb-4bit, base_model:quantized:unsloth/Meta-Llama-3.1-8B-Instruct-bnb-4bit, license:apache-2.0, model-index, endpoints_compatible, region:us, conversational
Base models (quantized): id: unsloth/Meta-Llama-3.1-8B-Instruct-bnb-4bit
Card metadata: base_model: unsloth/Meta-Llama-3.1-8B-Instruct-bnb-4bit
language: en, fr, de, hi, it, pt, es, th
license: apache-2.0
tags: text-generation-inference, transformers, unsloth, llama, trl
datasets: lavita/AlpaCare-MedInstruct-52k
metrics: accuracy
model-index: name: Llama-3.1-8B-AlpaCare-MedInstruct
results: task: type: text-generation
dataset: name: GEval
type: GEval
metrics: name: Medical Q&A
type: Medical Q&A 20 shots
value: 70
verified: no
pipeline_tag: text-generation
Likes: 2 | All-time downloads: 2486
Created: 2024-08-01 08:45:31