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Phi, Yi, and GLM for local chat—how do I shortlist?

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(@pandaadmin)
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Topic starter   [#89]

[Official FAQ] Corrections and follow-up questions welcome.

Phi-class models target strong results at small sizes—handy on laptops. Yi and GLM families are often discussed for bilingual/Chinese-quality chat among other strengths. Treat this as a map, not a ranking.

Shortlist by constraint:

  • Edge / low VRAM: try small Phi-class Instruct builds.
  • Same VRAM budget: A/B Yi, GLM, Qwen, Llama Instruct siblings on your prompts.
  • Filter by license, context length, and available GGUF/official weights.

Small models bluff on multi-step tasks—keep a tiny regression set. Comparative posts with fixed prompts help everyone.



   
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