fix: pass prediction options when using the model

api/prediction.go

@@ -56,7 +56,8 @@ func ModelEmbedding(s string, loader *model.ModelLoader, c Config) (func() ([]fl
 	switch model := inferenceModel.(type) {
 	case *llama.LLama:
 		fn = func() ([]float32, error) {
-			return model.Embeddings(s)
+			predictOptions := buildLLamaPredictOptions(c)
+			return model.Embeddings(s, predictOptions...)
 		}
 	default:
 		fn = func() ([]float32, error) {
@@ -81,6 +82,61 @@ func ModelEmbedding(s string, loader *model.ModelLoader, c Config) (func() ([]fl
 	}, nil
 }
 
+func buildLLamaPredictOptions(c Config) []llama.PredictOption {
+	// Generate the prediction using the language model
+	predictOptions := []llama.PredictOption{
+		llama.SetTemperature(c.Temperature),
+		llama.SetTopP(c.TopP),
+		llama.SetTopK(c.TopK),
+		llama.SetTokens(c.Maxtokens),
+		llama.SetThreads(c.Threads),
+	}
+
+	if c.Mirostat != 0 {
+		predictOptions = append(predictOptions, llama.SetMirostat(c.Mirostat))
+	}
+
+	if c.MirostatETA != 0 {
+		predictOptions = append(predictOptions, llama.SetMirostatETA(c.MirostatETA))
+	}
+
+	if c.MirostatTAU != 0 {
+		predictOptions = append(predictOptions, llama.SetMirostatTAU(c.MirostatTAU))
+	}
+
+	if c.Debug {
+		predictOptions = append(predictOptions, llama.Debug)
+	}
+
+	predictOptions = append(predictOptions, llama.SetStopWords(c.StopWords...))
+
+	if c.RepeatPenalty != 0 {
+		predictOptions = append(predictOptions, llama.SetPenalty(c.RepeatPenalty))
+	}
+
+	if c.Keep != 0 {
+		predictOptions = append(predictOptions, llama.SetNKeep(c.Keep))
+	}
+
+	if c.Batch != 0 {
+		predictOptions = append(predictOptions, llama.SetBatch(c.Batch))
+	}
+
+	if c.F16 {
+		predictOptions = append(predictOptions, llama.EnableF16KV)
+	}
+
+	if c.IgnoreEOS {
+		predictOptions = append(predictOptions, llama.IgnoreEOS)
+	}
+
+	if c.Seed != 0 {
+		predictOptions = append(predictOptions, llama.SetSeed(c.Seed))
+	}
+
+	return predictOptions
+}
+
 func ModelInference(s string, loader *model.ModelLoader, c Config, tokenCallback func(string) bool) (func() (string, error), error) {
 	supportStreams := false
 	modelFile := c.Model
@@ -198,56 +254,7 @@ func ModelInference(s string, loader *model.ModelLoader, c Config, tokenCallback
 				model.SetTokenCallback(tokenCallback)
 			}
 
-			// Generate the prediction using the language model
-			predictOptions := []llama.PredictOption{
-				llama.SetTemperature(c.Temperature),
-				llama.SetTopP(c.TopP),
-				llama.SetTopK(c.TopK),
-				llama.SetTokens(c.Maxtokens),
-				llama.SetThreads(c.Threads),
-			}
-
-			if c.Mirostat != 0 {
-				predictOptions = append(predictOptions, llama.SetMirostat(c.Mirostat))
-			}
-
-			if c.MirostatETA != 0 {
-				predictOptions = append(predictOptions, llama.SetMirostatETA(c.MirostatETA))
-			}
-
-			if c.MirostatTAU != 0 {
-				predictOptions = append(predictOptions, llama.SetMirostatTAU(c.MirostatTAU))
-			}
-
-			if c.Debug {
-				predictOptions = append(predictOptions, llama.Debug)
-			}
-
-			predictOptions = append(predictOptions, llama.SetStopWords(c.StopWords...))
-
-			if c.RepeatPenalty != 0 {
-				predictOptions = append(predictOptions, llama.SetPenalty(c.RepeatPenalty))
-			}
-
-			if c.Keep != 0 {
-				predictOptions = append(predictOptions, llama.SetNKeep(c.Keep))
-			}
-
-			if c.Batch != 0 {
-				predictOptions = append(predictOptions, llama.SetBatch(c.Batch))
-			}
-
-			if c.F16 {
-				predictOptions = append(predictOptions, llama.EnableF16KV)
-			}
-
-			if c.IgnoreEOS {
-				predictOptions = append(predictOptions, llama.IgnoreEOS)
-			}
-
-			if c.Seed != 0 {
-				predictOptions = append(predictOptions, llama.SetSeed(c.Seed))
-			}
+			predictOptions := buildLLamaPredictOptions(c)
 
 			str, er := model.Predict(
 				s,