Models

Ornith

Models whose name starts with Ornith.

Community models are tt-model bundles published by their owners and are not in tt-inference-server's release spec. Tenstorrent has not reviewed them. Serve at your own risk.

4 models
LLMCommunity model

Ornith-1.0-35B

ornith-ai/Ornith-1.0-35B

Ornith-1.0-35B, a 35B-parameter mixture-of-experts model for agentic reasoning and coding, served with vLLM with tool calling and separated reasoning output.

Runs on
BH 4xP150, p100, p150 +1
Speed
12 tok/s253 ms 1 chip
Status
Not in the release spec
tt launch
7 clients
1 tt-model bundle
LLM (inferred)Community model

Ornith-1.5-122B

ornith-ai/Ornith-1.5-122B

Ornith-1.5-122B, a 122B-parameter mixture-of-experts model with 10B parameters active per token (256 experts, top-8 plus a shared expert; 48 layers mixing Gated DeltaNet linear attention with gated full attention; the Qwen3.5-122B-A10B…

Runs on
BH 4xP150, BH QuietBox 2
Speed
133 tok/s230 ms 4 chips
Status
Not in the release spec
tt launch
7 clients
1 tt-model bundle
LLM (inferred)Community model

Ornith-1.5-35B-A3B

ornith-ai/Ornith-1.5-35B-A3B

Ornith-1.5-35B-A3B (35B total / 3B active MoE: 256 experts, top-8 + shared expert, 40 layers of Gated DeltaNet + gated attention, vision tower, MTP head) on Blackhole through vLLM and the Tenstorrent plugin, with a fused decode step: the…

Runs on
BH 4xP150, BH P300, BH QuietBox 2 +3
Speed
220 tok/s118 ms 4 chips
Status
Not in the release spec
tt launch
7 clients
2 tt-model bundles
LLMCommunity model

Ornith-1.5-9B

ornith-ai/Ornith-1.5-9B

Ornith-1.5-9B, a 9B-parameter dense reasoning and coding model, served with vLLM with tool calling and separated reasoning output.

Runs on
BH 4xP150, p150, p150x2
Speed
6.0 tok/s97 ms 1 chip
Status
Not in the release spec
tt launch
7 clients
1 tt-model bundle