41 lines
1.1 KiB
YAML
41 lines
1.1 KiB
YAML
# Reference config for the `frames` evaluation database.
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# FRAMES (google/frames-benchmark): 824 multi-hop questions over a corpus of
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# the ~2.5k Wikipedia articles linked per question, fetched at current
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# revision (revid + fetch date recorded in the article cache).
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# Run: evaluations run frames --config configs/frames.yaml
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# base_url uses the `vllm` host serving each model over an OpenAI-compatible API.
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environment: development
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storage:
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auto_vacuum: false
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embeddings:
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model:
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provider: openai
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name: qwen3-embedding-4b
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vector_dim: 2560
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base_url: http://vllm:11431/v1
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reranking:
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model:
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provider: vllm
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name: Qwen/Qwen3-Reranker-4B
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base_url: http://vllm:11433
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qa:
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model:
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provider: openai
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name: gemma4-26b
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base_url: http://vllm:11432/v1
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# vLLM reserves max_tokens out of max_model_len; a large value starves
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# the input budget and 400s long agentic contexts.
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max_tokens: 8192
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evaluations:
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judge:
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provider: openai
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name: RedHatAI/Qwen3.6-35B-A3B-NVFP4
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base_url: http://vllm:11430/v1
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temperature: 0.0
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max_tokens: 16384
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