Ornith 1.5 35B A3B
Ornith 1.5 35B A3B from ornith-ai. Source-based hardware guidance from its published configuration.
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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Add my hardwareRun 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-GGUFllama.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 262144SGLang · 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 qwen3vLLM · 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-codeExplore its uses
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