a Llama3-8B base model instruction tuned on a corpus of 2750+ datasets, spanning tasks such as classification, reading comprehension, structured attribute extraction and entity resolution

Updated 1 year ago

1 year ago

144417fb7551 · 8.5GB

model

archllama

parameters8.03B

quantizationQ8_0

8.5GB

template

{{ if .System }}<|start_header_id|>system<|end_header_id|> {{ .System }}<|eot_id|>{{ end }}{{ if .Pr

254B

params

{ "num_keep": 24, "stop": [ "<|start_header_id|>", "<|end_header_id|>",

110B

Readme

import from https://hf-mirror.com/LoneStriker/Llama-3-Refueled-GGUF

Model Details

RefuelLLM-2-small, aka Llama-3-Refueled, is a Llama3-8B base model instruction tuned on a corpus of 2750+ datasets, spanning tasks such as classification, reading comprehension, structured attribute extraction and entity resolution. We’re excited to open-source the model for the community to build on top of.

More details

Model developers - Refuel AI

Input - Text only.

Output - Text only.

Architecture

Llama-3-Refueled is built on top of Llama-3-8B-instruct which is an auto-regressive language model that uses an optimized transformer architecture.

Release Date

May 8, 2024.