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cmd/config: add minimax-m2.5 (#14223)

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Parth Sareen
2026-02-12 14:29:50 -08:00
committed by GitHub
parent 935a48ed1a
commit 598b74d42c
3 changed files with 37 additions and 35 deletions
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23
cmd/config/integrations.go
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@@ -63,12 +63,33 @@ var integrations = map[string]Runner{
// recommendedModels are shown when the user has no models or as suggestions.
// Order matters: local models first, then cloud models.
var recommendedModels = []ModelItem{
{Name: "minimax-m2.5:cloud", Description: "Fast, efficient coding and real-world productivity", Recommended: true},
{Name: "glm-5:cloud", Description: "Reasoning and code generation", Recommended: true},
{Name: "kimi-k2.5:cloud", Description: "Multimodal reasoning with subagents", Recommended: true},
{Name: "glm-4.7-flash", Description: "Reasoning and code generation locally", Recommended: true},
{Name: "qwen3:8b", Description: "Efficient all-purpose assistant", Recommended: true},
}
// cloudModelLimits maps cloud model base names to their token limits.
// TODO(parthsareen): grab context/output limits from model info instead of hardcoding
var cloudModelLimits = map[string]cloudModelLimit{
"minimax-m2.5": {Context: 204_800, Output: 128_000},
"cogito-2.1:671b": {Context: 163_840, Output: 65_536},
"deepseek-v3.1:671b": {Context: 163_840, Output: 163_840},
"deepseek-v3.2": {Context: 163_840, Output: 65_536},
"glm-4.6": {Context: 202_752, Output: 131_072},
"glm-4.7": {Context: 202_752, Output: 131_072},
"gpt-oss:120b": {Context: 131_072, Output: 131_072},
"gpt-oss:20b": {Context: 131_072, Output: 131_072},
"kimi-k2:1t": {Context: 262_144, Output: 262_144},
"kimi-k2.5": {Context: 262_144, Output: 262_144},
"kimi-k2-thinking": {Context: 262_144, Output: 262_144},
"nemotron-3-nano:30b": {Context: 1_048_576, Output: 131_072},
"qwen3-coder:480b": {Context: 262_144, Output: 65_536},
"qwen3-coder-next": {Context: 262_144, Output: 32_768},
"qwen3-next:80b": {Context: 262_144, Output: 32_768},
}
// recommendedVRAM maps local recommended models to their approximate VRAM requirement.
var recommendedVRAM = map[string]string{
"glm-4.7-flash": "~25GB",
@@ -1062,7 +1083,7 @@ func buildModelList(existing []modelInfo, preChecked []string, current string) (
if vram := recommendedVRAM[items[i].Name]; vram != "" {
parts = append(parts, vram)
}
parts = append(parts, "install?")
parts = append(parts, "(not downloaded)")
items[i].Description = strings.Join(parts, ", ")
}
}