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
151 Pulls Updated 7 months ago
Updated 7 months ago
7 months ago
f59fdc2d9d82 · 4.9GB
model
archllama
·
parameters8.03B
·
quantizationQ4_K_M
4.9GB
params
{
"num_keep": 24,
"stop": [
"<|start_header_id|>",
"<|end_header_id|>",
110B
template
{{ if .System }}<|start_header_id|>system<|end_header_id|>
{{ .System }}<|eot_id|>{{ end }}{{ if .P
254B
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.