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
8B
116 Pulls Updated 7 weeks ago
Updated 7 weeks ago
7 weeks ago
f59fdc2d9d82 · 4.9GB
model
archllama
·
parameters8.03B
·
quantizationQ4_K_M
4.9GB
template
{{ if .System }}<|start_header_id|>system<|end_header_id|>
{{ .System }}<|eot_id|>{{ end }}{{ if .Prompt }}<|start_header_id|>user<|end_header_id|>
{{ .Prompt }}<|eot_id|>{{ end }}<|start_header_id|>assistant<|end_header_id|>
{{ .Response }}<|eot_id|>
254B
params
{"num_keep":24,"stop":["<|start_header_id|>","<|end_header_id|>","<|eot_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.