2 Commits

Author	SHA1	Message	Date
Hermes Agent service account	22a020e4c7	fix(llm-inference): bitsandbytes int4 OOM — pending switch to llama.cpp+GGUF ... bitsandbytes quantizes on-the-fly: loads full bf16 weights (~54GB RAM peak) before compressing to int4. Kills the 40GB OptiPlex on torch.compile warmup. Fix in next commit: switch serve phase to llama.cpp + GGUF Q4_K_M. Pre-quantized weights load directly — peak RAM ~16GB, no compile overhead.	2026-08-03 12:35:46 -05:00
Hermes Agent service account	dda6b91330	feat(llm-inference): Day 1 playbook for RTX 3090 vLLM stack on astro-orbiter ... - nvidia-driver-595-open (already installed 2026-08-03, idempotent) - Python venv + vLLM 0.26.0 (already installed, idempotent) - Gemma 2 27B model download via HuggingFace hub - systemd vllm-serve.service on port 8000 - Hermes provider integration on carousel-of-progress - vault_hf_token added to group_vars/all/vault - ansible.cfg: vault_password_file set to absolute path - inventory: astro_orbiter group added Run with: env -u ANSIBLE_VAULT_PASSWORD_FILE ansible-playbook -i inventory.yml playbooks/day1_deploy_llm_inference.yml	2026-08-03 11:51:34 -05:00