Leonid Pershin
f17b1c9731
- Revised model descriptions in `ollama-models.example.yaml` to emphasize uncensored and abliterated requirements, enhancing user understanding. - Updated documentation in `llm.md` to reflect changes in model tags and their meanings, ensuring accurate guidance for users. - Modified CLI help messages to clarify the nature of presets, reinforcing that all options are abliterate models with Russian support. - Enhanced the `llm_runtime.py` file to align preset labels with the updated model descriptions, improving consistency across the codebase.
62 lines
2.0 KiB
Python
62 lines
2.0 KiB
Python
from pathlib import Path
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import pytest
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from gpu_rent.llm_runtime import (
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decide_runtime,
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normalize_runtime,
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parse_ollama_models,
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write_ollama_models_preset,
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)
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def test_normalize_runtime():
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assert normalize_runtime(None) == "none"
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assert normalize_runtime("OLLAMA") == "ollama"
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with pytest.raises(ValueError):
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normalize_runtime("llamacpp")
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with pytest.raises(ValueError):
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normalize_runtime("foo")
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def test_decide_runtime_flags_win():
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assert (
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decide_runtime(flag=None, ollama_flag=True, from_config="none") == "ollama"
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)
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assert (
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decide_runtime(flag="ollama", ollama_flag=False, from_config="none") == "ollama"
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)
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assert decide_runtime(flag=None, ollama_flag=False, from_config="ollama") == "ollama"
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def test_parse_ollama_models(tmp_path: Path):
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path = tmp_path / "m.yaml"
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path.write_text(
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"models:\n - name: huihui_ai/qwen2.5-abliterate:7b\n default: true\n - qwen2.5:3b\n",
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encoding="utf-8",
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)
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entries = parse_ollama_models(path)
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assert [e.name for e in entries] == [
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"huihui_ai/qwen2.5-abliterate:7b",
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"qwen2.5:3b",
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]
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assert entries[0].default is True
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def test_parse_empty_manifest(tmp_path: Path):
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path = tmp_path / "empty.yaml"
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path.write_text("models: []\n", encoding="utf-8")
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assert parse_ollama_models(path) == []
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assert parse_ollama_models(tmp_path / "missing.yaml") == []
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def test_write_preset(tmp_path: Path):
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path = tmp_path / "out.yaml"
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write_ollama_models_preset(path, "recommended")
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entries = parse_ollama_models(path)
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assert entries[0].name == "huihui_ai/qwen2.5-vl-abliterated:7b"
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write_ollama_models_preset(path, "big")
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assert parse_ollama_models(path)[0].name == "huihui_ai/qwen2.5-vl-abliterated:32b"
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write_ollama_models_preset(path, "text")
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assert parse_ollama_models(path)[0].name == "huihui_ai/qwen2.5-abliterate:7b"
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