Rust distroless Arcee trinity-nano CPU inference
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Arcee trinity-nano
6B MoE model with 1B active parameters. Best for CPU inference
Endpoint: http://localhost:8085/v1/chat/completions
Repo: https://huggingface.co/arcee-ai/Trinity-Nano-Preview-GGUF
For CPU inference, the more RAM the better.
Q6KL_AMD allows Linux (min 8gb ram context=16384 approx 12288 words)
Q6KL_ARM and MacOS (8gb ram macbook pro context=16384 approx 12288 words)
Q2 is Linux only - made to test CPU with limited RAM (eg oracle always free tier, context=512 approx 390 words)
curl -sS http://127.0.0.1:8085/v1/completions \
-H 'Content-Type: application/json' \
-d '{
"model": "trinity-nano",
"prompt": "Write one sentence explaining what a transformer is.",
"temperature": 0.2,
"max_tokens": 80
}'
Content type
Image
Digest
sha256:112bbaef4…
Size
4.8 GB
Last updated
7 months ago
docker pull docdbrown/trinity-nano:Q6KL_AMD_1.0.0