diff --git a/cmd/workspace/models.go b/cmd/workspace/models.go
index c272dacc5..15eef611b 100644
--- a/cmd/workspace/models.go
+++ b/cmd/workspace/models.go
@@ -3,6 +3,7 @@
 package main
 
 import (
+	_ "github.com/kaito-project/kaito/presets/workspace/models/deepseek"
 	_ "github.com/kaito-project/kaito/presets/workspace/models/falcon"
 	_ "github.com/kaito-project/kaito/presets/workspace/models/llama2"
 	_ "github.com/kaito-project/kaito/presets/workspace/models/llama2chat"
diff --git a/presets/workspace/models/deepseek/model.go b/presets/workspace/models/deepseek/model.go
new file mode 100644
index 000000000..1e6912499
--- /dev/null
+++ b/presets/workspace/models/deepseek/model.go
@@ -0,0 +1,133 @@
+// Copyright (c) Microsoft Corporation.
+// Licensed under the MIT license.
+package deepseek
+
+import (
+	"time"
+
+	kaitov1alpha1 "github.com/kaito-project/kaito/api/v1alpha1"
+	"github.com/kaito-project/kaito/pkg/model"
+	"github.com/kaito-project/kaito/pkg/utils/plugin"
+	"github.com/kaito-project/kaito/pkg/workspace/inference"
+)
+
+func init() {
+	plugin.KaitoModelRegister.Register(&plugin.Registration{
+		Name:     PresetDeepSeekR1DistillLlama8BModel,
+		Instance: &deepseekA,
+	})
+	plugin.KaitoModelRegister.Register(&plugin.Registration{
+		Name:     PresetDeepSeekR1DistillQwen14BModel,
+		Instance: &deepseekB,
+	})
+}
+
+var (
+	PresetDeepSeekR1DistillLlama8BModel = "deepseek-r1-distill-llama-8b"
+	PresetDeepSeekR1DistillQwen14BModel = "deepseek-r1-distill-qwen-14b"
+
+	PresetDeepSeekTagMap = map[string]string{
+		"DeepSeekDistillLlama8B": "0.0.1",
+		"DeepSeekDistillQwen14B": "0.0.1",
+	}
+
+	baseCommandPresetDeepseekInference = "accelerate launch"
+	deepseekLlama8bRunParams           = map[string]string{
+		"torch_dtype": "bfloat16",
+		"pipeline":    "text-generation",
+	}
+	deepseekLlama8bRunParamsVLLM = map[string]string{
+		"dtype": "float16",
+	}
+	deepseekQwen14bRunParams = map[string]string{
+		"torch_dtype": "bfloat16",
+		"pipeline":    "text-generation",
+	}
+	deepseekQwen14bRunParamsVLLM = map[string]string{
+		"dtype": "float16",
+	}
+)
+
+var deepseekA llama8b
+
+type llama8b struct{}
+
+func (*llama8b) GetInferenceParameters() *model.PresetParam {
+	return &model.PresetParam{
+		ModelFamilyName:           "DeepSeek",
+		ImageAccessMode:           string(kaitov1alpha1.ModelImageAccessModePublic),
+		DiskStorageRequirement:    "50Gi",
+		GPUCountRequirement:       "1",
+		TotalGPUMemoryRequirement: "14Gi",
+		PerGPUMemoryRequirement:   "0Gi", // We run DeepSeek using native vertical model parallel, no per GPU memory requirement.
+		RuntimeParam: model.RuntimeParam{
+			Transformers: model.HuggingfaceTransformersParam{
+				BaseCommand:       baseCommandPresetDeepseekInference,
+				TorchRunParams:    inference.DefaultAccelerateParams,
+				InferenceMainFile: inference.DefautTransformersMainFile,
+				ModelRunParams:    deepseekLlama8bRunParams,
+			},
+			VLLM: model.VLLMParam{
+				BaseCommand:    baseCommandPresetDeepseekInference,
+				ModelName:      "/workspace/vllm/weights",
+				ModelRunParams: deepseekLlama8bRunParamsVLLM,
+			},
+			// vllm requires the model specification to be exactly divisible by
+			// the number of GPUs(tensor parallel level).
+			DisableTensorParallelism: true,
+		},
+		ReadinessTimeout: time.Duration(30) * time.Minute,
+		Tag:              PresetDeepSeekTagMap["DeepSeekDistillLlama8B"],
+	}
+}
+func (*llama8b) GetTuningParameters() *model.PresetParam {
+	return nil
+}
+func (*llama8b) SupportDistributedInference() bool {
+	return false
+}
+func (*llama8b) SupportTuning() bool {
+	return false
+}
+
+var deepseekB qwen14b
+
+type qwen14b struct{}
+
+func (*qwen14b) GetInferenceParameters() *model.PresetParam {
+	return &model.PresetParam{
+		ModelFamilyName:           "DeepSeek",
+		ImageAccessMode:           string(kaitov1alpha1.ModelImageAccessModePublic),
+		DiskStorageRequirement:    "50Gi",
+		GPUCountRequirement:       "1",
+		TotalGPUMemoryRequirement: "25.7Gi",
+		PerGPUMemoryRequirement:   "0Gi", // We run DeepSeek using native vertical model parallel, no per GPU memory requirement.
+		RuntimeParam: model.RuntimeParam{
+			Transformers: model.HuggingfaceTransformersParam{
+				BaseCommand:       baseCommandPresetDeepseekInference,
+				TorchRunParams:    inference.DefaultAccelerateParams,
+				InferenceMainFile: inference.DefautTransformersMainFile,
+				ModelRunParams:    deepseekQwen14bRunParams,
+			},
+			VLLM: model.VLLMParam{
+				BaseCommand:    inference.DefaultVLLMCommand,
+				ModelName:      "/workspace/vllm/weights",
+				ModelRunParams: deepseekQwen14bRunParamsVLLM,
+			},
+			// vllm requires the model specification to be exactly divisible by
+			// the number of GPUs(tensor parallel level).
+			DisableTensorParallelism: true,
+		},
+		ReadinessTimeout: time.Duration(30) * time.Minute,
+		Tag:              PresetDeepSeekTagMap["DeepSeekDistillQwen14B"],
+	}
+}
+func (*qwen14b) GetTuningParameters() *model.PresetParam {
+	return nil
+}
+func (*qwen14b) SupportDistributedInference() bool {
+	return false
+}
+func (*qwen14b) SupportTuning() bool {
+	return false
+}