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## Motivation A lot of changes happened without much attention to the state of exo bench. ## Changes Use TaggedModel for BenchChatCompletion so it serialises properly. Don't break after gpt oss tool call to preserve parity with the rest of the codebase. ## Why It Works <!-- Explain why your approach solves the problem --> ## Test Plan ### Manual Testing <img width="2856" height="678" alt="image" src="https://github.com/user-attachments/assets/2e18cf0d-c0f8-467c-9763-1a6a59c8a327" /> Also tested GPT OSS tool calling in OpenCode
19 lines
396 B
JSON
19 lines
396 B
JSON
{
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"$schema": "https://opencode.ai/config.json",
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"model": "exo/mlx-community/gpt-oss-120b-MXFP4-Q8",
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"provider": {
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"exo": {
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"api": "http://localhost:52415/v1",
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"models": {
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"mlx-community/gpt-oss-120b-MXFP4-Q8": {
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"name": "GPT OSS 120B",
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"limit": {
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"context": 32768,
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"output": 8192
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}
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}
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}
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}
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}
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}
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