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Fetch the cached weights for Mistral-7B-Instruct-v0.1 from GCS bucket… #621

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merged 1 commit into from
Apr 26, 2024
Merged

Fetch the cached weights for Mistral-7B-Instruct-v0.1 from GCS bucket… #621

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4 changes: 2 additions & 2 deletions applications/rag/variables.tf
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Original file line number Diff line number Diff line change
Expand Up @@ -378,7 +378,7 @@ variable "gpu_pools" {
max_count = optional(number, 3)
local_ssd_count = optional(number, 0)
spot = optional(bool, false)
disk_size_gb = optional(number, 100)
disk_size_gb = optional(number, 200)
disk_type = optional(string, "pd-standard")
image_type = optional(string, "COS_CONTAINERD")
enable_gcfs = optional(bool, false)
Expand All @@ -399,7 +399,7 @@ variable "gpu_pools" {
autoscaling = true
min_count = 1
max_count = 3
disk_size_gb = 100
disk_size_gb = 200
disk_type = "pd-balanced"
enable_gcfs = true
accelerator_count = 2
Expand Down
2 changes: 1 addition & 1 deletion infrastructure/tfvars_tests/standard-gke-public.platform.tfvars
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Expand Up @@ -58,7 +58,7 @@ gpu_pools = [{
min_count = 2
max_count = 3
accelerator_count = 2
disk_size_gb = 100
disk_size_gb = 200
enable_gcfs = true
logging_variant = "DEFAULT"
disk_type = "pd-balanced"
Expand Down
33 changes: 31 additions & 2 deletions tutorials-and-examples/hf-tgi/main.tf
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Expand Up @@ -47,6 +47,9 @@ resource "kubernetes_service" "inference_service" {
}

resource "kubernetes_deployment" "inference_deployment" {
timeouts {
create = "30m"
}
metadata {
name = "mistral-7b-instruct"
namespace = var.namespace
Expand All @@ -56,7 +59,11 @@ resource "kubernetes_deployment" "inference_deployment" {
}

spec {
replicas = 1
# It takes more than 10m for the deployment to be ready on Autopilot cluster
# Set the progress deadline to 30m to avoid the deployment controller
# considering the deployment to be failed
progress_deadline_seconds = 1800
replicas = 1

selector {
match_labels = merge({
Expand All @@ -72,6 +79,15 @@ resource "kubernetes_deployment" "inference_deployment" {
}

spec {
init_container {
name = "download-model"
image = "google/cloud-sdk:473.0.0-alpine"
command = ["gsutil", "cp", "-r", "gs://vertex-model-garden-public-us/mistralai/Mistral-7B-Instruct-v0.1/", "/model-data/"]
volume_mount {
mount_path = "/model-data"
name = "model-storage"
}
}
container {
image = "ghcr.io/huggingface/text-generation-inference:1.1.0"
name = "mistral-7b-instruct"
Expand All @@ -82,9 +98,11 @@ resource "kubernetes_deployment" "inference_deployment" {
protocol = "TCP"
}

args = ["--model-id", "$(MODEL_ID)"]

env {
name = "MODEL_ID"
value = "mistralai/Mistral-7B-Instruct-v0.1"
value = "/model/Mistral-7B-Instruct-v0.1"
}

env {
Expand Down Expand Up @@ -118,6 +136,12 @@ resource "kubernetes_deployment" "inference_deployment" {
name = "data"
}

volume_mount {
mount_path = "/model"
name = "model-storage"
read_only = "true"
}

#liveness_probe {
#http_get {
#path = "/"
Expand Down Expand Up @@ -146,6 +170,11 @@ resource "kubernetes_deployment" "inference_deployment" {
empty_dir {}
}

volume {
name = "model-storage"
empty_dir {}
}

node_selector = merge({
"cloud.google.com/gke-accelerator" = "nvidia-l4"
}, var.autopilot_cluster ? {
Expand Down
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