mannix/
smaug-llama3-8b:q8_0

305 1 year ago

This model was built using the Smaug recipe for improving performance on real world multi-turn conversations applied to meta-llama/Meta-Llama-3-8B-Instruct.

1 year ago

f0317901c8fe · 8.5GB ·

model
llama
·
8.03B
·
Q8_0
template
{{ if .System }}<|start_header_id|>system<|end_header_id|> {{ .System }}<|eot_id|>{{ end }}{{ if .Pr
license
META LLAMA 3 COMMUNITY LICENSE AGREEMENT Meta Llama 3 Version Release Date: April 18, 2024 “Agreem
params
{ "num_keep": 24, "stop": [ "<|start_header_id|>", "<|end_header_id|>",

Readme

Llama-3-Smaug-8B

Quantizations with i-matrix groups_merged.txt, saftensors converted to fp32

Built with Meta Llama 3

image/png

This model was built using the Smaug recipe for improving performance on real world multi-turn conversations applied to meta-llama/Meta-Llama-3-8B-Instruct.

Model Description

Evaluation

MT-Bench

########## First turn ##########
                   score
model             turn
Llama-3-Smaug-8B 1   8.77500
Meta-Llama-3-8B-Instruct 1   8.31250
########## Second turn ##########
                   score
model             turn
Meta-Llama-3-8B-Instruct 2   7.8875 
Llama-3-Smaug-8B 2   7.8875
########## Average ##########
                 score
model
Llama-3-Smaug-8B  8.331250
Meta-Llama-3-8B-Instruct 8.10
Model First turn Second Turn Average
Llama-3-Smaug-8B 8.78 7.89 8.33
Llama-3-8B-Instruct 8.31 7.89 8.10

This version of Smaug uses new techniques and new data compared to Smaug-72B, and more information will be released later on. For now, see the previous Smaug paper: https://arxiv.org/abs/2402.13228.