Text / ornith-ai

Ornith 1.5 35B A3B

Ornith 1.5 35B A3B from ornith-ai. Source-based hardware guidance from its published configuration.

EstimatedRepository opened Aug 18, 2026Source checked 9/24/2026Version: 10fbf86f
LOCALRENTED GPUOPEN WEIGHTS

At a glance

Parameters
35.95B
Architecture
qwen3_5_moe
License
mit
Disk space
67 GB
Software
Ollama, llama.cpp, SGLang, vLLM
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MODEL-SPECIFIC SETUPS

Run it your way

Choose what you want to do with Ornith 1.5 35B A3B. Each guide uses this model’s own files and runtime.

Ways to run it

Ollama · Windows, macOS, Linux

Repository-specific command in publisher documentation; confirm dependencies and hardware in the source.

ollama run hf.co/ornith-ai/Ornith-1.5-35B-A3B-GGUF
Official instructions

llama.cpp · Windows, macOS, Linux

Repository-specific command in publisher documentation; confirm dependencies and hardware in the source.

llama-server -hf ornith-ai/Ornith-1.5-35B-A3B-GGUF --port 8000 -c 262144
Official instructions

SGLang · Linux

Repository-specific command in publisher documentation; confirm dependencies and hardware in the source.

python -m sglang.launch_server --model-path ornith-ai/Ornith-1.5-35B-A3B --served-model-name Ornith-1.5-35B-A3B --host 0.0.0.0 --port 8000 --tp 2 --context-length 262144 --mem-fraction-static 0.85 --tool-call-parser qwen3_coder --reasoning-parser qwen3
Official instructions

vLLM · Linux

Repository-specific command in publisher documentation; confirm dependencies and hardware in the source.

vllm serve ornith-ai/Ornith-1.5-35B-A3B --served-model-name Ornith-1.5-35B-A3B --host 0.0.0.0 --port 8000 --tensor-parallel-size 2 --max-model-len 262144 --gpu-memory-utilization 0.90 --enable-prefix-caching --enable-auto-tool-choice --tool-call-parser qwen3_xml --reasoning-parser qwen3 --trust-remote-code
Official instructions

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