Models
LLM OfficialLlama family

Llama-3.2-3B-Instruct

Listed in tt-inference-server on 3 hardware types; best status Functional. 1 tt-model bundle also published.

In tt-inference-server

HardwareEngine and implementationStatusContextUsersBuildSupport page
WH LoudBox/QuietBox
T3K
vLLM
tt-transformers
Functional 128K 32
tt-metal 20edc39
vLLM 03cb300
Image ghcr.io/tenstorrent/tt-inference-server/vllm-tt-metal-src-release-ubuntu-22.04-amd64:0.3.0-20edc39-03cb300
-
n150
N150
vLLM
tt-transformers
Functional 128K 32
tt-metal 20edc39
vLLM 03cb300
Image ghcr.io/tenstorrent/tt-inference-server/vllm-tt-metal-src-release-ubuntu-22.04-amd64:0.3.0-20edc39-03cb300
-
n300
N300
vLLM
tt-transformers
Functional 128K 32
tt-metal 20edc39
vLLM 03cb300
Image ghcr.io/tenstorrent/tt-inference-server/vllm-tt-metal-src-release-ubuntu-22.04-amd64:0.3.0-20edc39-03cb300
-

Status, context and users are copied from tt-inference-server's release spec (commit 2db98e38c, release 0.25.0). Context is the longest prompt plus reply the entry allows. Users is its highest concurrency. Each row carries its own code link, tt-metal and vLLM commits and image, because they differ between hardware. Nothing on this page is measured.

tt-model bundles

BundleHardwareServed withContextPushed
stisiTT/llama-3.2-3b-blackhole-v51 p100, p150 vllm-plugin 16K 2026-10-21

From tt-model search --catalog and each bundle's manifest (tt-model info). A bundle lists every hardware profile its manifest defines. Each bundle is published by its owner, and Tenstorrent has not reviewed it. Serve at your own risk.

Details

KindLLM (from tt-inference-server model type)
Parameters3B
FamilyLlama (from the start of the name)
Implementationtt-transformers
Disk needed26 GB
RAM needed7.5 GB
Tool-call parserllama3_json
License (bundle cards)llama3.2
Listed bytt-inference-server