Files
gpu-rent/ollama-models.example.yaml
T
Leonid PershinandCursor 4081890b4c Support Ollama use: chat|memory and parallel embed beside VL.
Pull nomic-embed-text for Assistent memory, write ollama-roles.json, CPU Modelfile, and raise MAX_LOADED_MODELS/NUM_PARALLEL to 2.

Co-authored-by: Cursor <cursoragent@cursor.com>
2026-08-21 22:47:03 +03:00

20 lines
807 B
YAML

# Copy to ollama-models.yaml (gitignored). Used when LLM_RUNTIME=ollama.
# name = exact tag for `ollama pull`.
# use: chat — Assistent header select; use: memory — settings memory model.
# Requirement: uncensored (abliterated) + Russian for chat. Empty models: [] → no pull.
models:
# Recommended (~6GB): vision + RU/EN, abliterated
- name: huihui_ai/qwen2.5-vl-abliterated:7b
use: chat
default: true
# Vector memory (CPU via num_gpu 0 Modelfile after pull) — not shown in chat select
- name: nomic-embed-text
use: memory
# Presets (setup / up --ollama-preset …):
# light — huihui_ai/qwen2.5-vl-abliterated:3b (~3GB)
# text — huihui_ai/qwen2.5-abliterate:7b (~5GB, no vision)
# big — huihui_ai/qwen2.5-vl-abliterated:32b (~21GB)