diff options
| -rw-r--r-- | Makefile | 2 | ||||
| -rw-r--r-- | README.md | 26 |
2 files changed, 24 insertions, 4 deletions
@@ -62,4 +62,4 @@ maps/%.h: maps/%.txt .assure xxd -i $< > $@ corpus/%.vdb: corpus/%.txt build/context - ./context -i $< -o $@ + ./context -m qwen3 -i $< -o $@ @@ -14,6 +14,26 @@ Goals of the experiment: - Test existing small and tiny LLMs and provide some useful results on how they behave. +## Getting started + +1. Build dependencies and binaries: + ```bash + make build/llama.cpp + make run/fetch-models + make build/context + make build/game + ``` + +2. Build a vector context database: + ```bash + build/corpus + ``` + +3. Run the game: + ```bash + ./game -m phi-4-mini-instruct -e qwen3 + ``` + ## Building ### Prerequisites @@ -52,7 +72,7 @@ embedding model (for example, `qwen3`) even if you generate answers with a different model. ```bash -./context -m qwen3 -i corpus/lotr.txt -o corpus/lotr.vdb +./context -m qwen3 -i corpus/map1_keldor.txt -o corpus/map1_keldor.vdb ``` ### Run an NPC query with retrieved context @@ -62,8 +82,8 @@ lines by cosine similarity, and runs the NPC system prompt against that context. You can pass a separate embedding model with `-e`/`--embed-model`. ```bash -./npc -m phi-4-mini-instruct -e qwen3 -p "Who is Gandalf?" -c corpus/lotr.vdb -./npc -m qwen3 -e qwen3 -p "Who is Frodo?" -c corpus/lotr.vdb +./npc -m phi-4-mini-instruct -e qwen3 -p "Who is Keldor?" -c corpus/map1_keldor.vdb +./npc -m qwen3 -e qwen3 -p "What does Keldor believe about the marsh lights?" -c corpus/map1_keldor.vdb ``` ### Run the game |