deepseek-r1-distill-qwen#

  • Context Length: 131072

  • Model Name: deepseek-r1-distill-qwen

  • Languages: en, zh

  • Abilities: chat

  • Description: deepseek-r1-distill-qwen is distilled from DeepSeek-R1 based on Qwen

Specifications#

Model Spec 1 (pytorch, 1_5 Billion)#

  • Model Format: pytorch

  • Model Size (in billions): 1_5

  • Quantizations: 4-bit, 8-bit, none

  • Engines: vLLM, Transformers (vLLM only available for quantization none)

  • Model ID: deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B

  • Model Hubs: Hugging Face, ModelScope

Execute the following command to launch the model, remember to replace ${quantization} with your chosen quantization method from the options listed above:

xinference launch --model-engine ${engine} --model-name deepseek-r1-distill-qwen --size-in-billions 1_5 --model-format pytorch --quantization ${quantization}

Model Spec 2 (awq, 1_5 Billion)#

  • Model Format: awq

  • Model Size (in billions): 1_5

  • Quantizations: Int4

  • Engines: vLLM, Transformers

  • Model ID: casperhansen/deepseek-r1-distill-qwen-1.5b-awq

  • Model Hubs: Hugging Face

Execute the following command to launch the model, remember to replace ${quantization} with your chosen quantization method from the options listed above:

xinference launch --model-engine ${engine} --model-name deepseek-r1-distill-qwen --size-in-billions 1_5 --model-format awq --quantization ${quantization}

Model Spec 3 (gptq, 1_5 Billion)#

  • Model Format: gptq

  • Model Size (in billions): 1_5

  • Quantizations: Int4

  • Engines: vLLM, Transformers

  • Model ID: jakiAJK/DeepSeek-R1-Distill-Qwen-1.5B_GPTQ-int4

  • Model Hubs: Hugging Face

Execute the following command to launch the model, remember to replace ${quantization} with your chosen quantization method from the options listed above:

xinference launch --model-engine ${engine} --model-name deepseek-r1-distill-qwen --size-in-billions 1_5 --model-format gptq --quantization ${quantization}

Model Spec 4 (ggufv2, 1_5 Billion)#

  • Model Format: ggufv2

  • Model Size (in billions): 1_5

  • Quantizations: Q2_K, Q2_K_L, Q3_K_M, Q4_K_M, Q5_K_M, Q6_K, Q8_0

  • Engines: llama.cpp

  • Model ID: unsloth/DeepSeek-R1-Distill-Qwen-1.5B-GGUF

  • Model Hubs: Hugging Face, ModelScope

Execute the following command to launch the model, remember to replace ${quantization} with your chosen quantization method from the options listed above:

xinference launch --model-engine ${engine} --model-name deepseek-r1-distill-qwen --size-in-billions 1_5 --model-format ggufv2 --quantization ${quantization}

Model Spec 5 (mlx, 1_5 Billion)#

  • Model Format: mlx

  • Model Size (in billions): 1_5

  • Quantizations: 3bit, 4bit, 6bit, 8bit, bf16

  • Engines: MLX

  • Model ID: mlx-community/DeepSeek-R1-Distill-Qwen-1.5B-{quantization}

  • Model Hubs: Hugging Face

Execute the following command to launch the model, remember to replace ${quantization} with your chosen quantization method from the options listed above:

xinference launch --model-engine ${engine} --model-name deepseek-r1-distill-qwen --size-in-billions 1_5 --model-format mlx --quantization ${quantization}

Model Spec 6 (pytorch, 7 Billion)#

  • Model Format: pytorch

  • Model Size (in billions): 7

  • Quantizations: 4-bit, 8-bit, none

  • Engines: vLLM, Transformers (vLLM only available for quantization none)

  • Model ID: deepseek-ai/DeepSeek-R1-Distill-Qwen-7B

  • Model Hubs: Hugging Face, ModelScope

Execute the following command to launch the model, remember to replace ${quantization} with your chosen quantization method from the options listed above:

xinference launch --model-engine ${engine} --model-name deepseek-r1-distill-qwen --size-in-billions 7 --model-format pytorch --quantization ${quantization}

Model Spec 7 (awq, 7 Billion)#

  • Model Format: awq

  • Model Size (in billions): 7

  • Quantizations: Int4

  • Engines: vLLM, Transformers

  • Model ID: jakiAJK/DeepSeek-R1-Distill-Qwen-7B_AWQ

  • Model Hubs: Hugging Face

Execute the following command to launch the model, remember to replace ${quantization} with your chosen quantization method from the options listed above:

xinference launch --model-engine ${engine} --model-name deepseek-r1-distill-qwen --size-in-billions 7 --model-format awq --quantization ${quantization}

Model Spec 8 (gptq, 7 Billion)#

  • Model Format: gptq

  • Model Size (in billions): 7

  • Quantizations: Int4

  • Engines: vLLM, Transformers

  • Model ID: jakiAJK/DeepSeek-R1-Distill-Qwen-7B_GPTQ-int4

  • Model Hubs: Hugging Face, ModelScope

Execute the following command to launch the model, remember to replace ${quantization} with your chosen quantization method from the options listed above:

xinference launch --model-engine ${engine} --model-name deepseek-r1-distill-qwen --size-in-billions 7 --model-format gptq --quantization ${quantization}

Model Spec 9 (ggufv2, 7 Billion)#

  • Model Format: ggufv2

  • Model Size (in billions): 7

  • Quantizations: Q2_K, Q2_K_L, Q3_K_M, Q4_K_M, Q5_K_M, Q6_K, Q8_0, F16

  • Engines: llama.cpp

  • Model ID: unsloth/DeepSeek-R1-Distill-Qwen-7B-GGUF

  • Model Hubs: Hugging Face, ModelScope

Execute the following command to launch the model, remember to replace ${quantization} with your chosen quantization method from the options listed above:

xinference launch --model-engine ${engine} --model-name deepseek-r1-distill-qwen --size-in-billions 7 --model-format ggufv2 --quantization ${quantization}

Model Spec 10 (mlx, 7 Billion)#

  • Model Format: mlx

  • Model Size (in billions): 7

  • Quantizations: 3bit, 4bit, 6bit, 8bit, bf16

  • Engines: MLX

  • Model ID: mlx-community/DeepSeek-R1-Distill-Qwen-7B-{quantization}

  • Model Hubs: Hugging Face, ModelScope

Execute the following command to launch the model, remember to replace ${quantization} with your chosen quantization method from the options listed above:

xinference launch --model-engine ${engine} --model-name deepseek-r1-distill-qwen --size-in-billions 7 --model-format mlx --quantization ${quantization}

Model Spec 11 (pytorch, 14 Billion)#

  • Model Format: pytorch

  • Model Size (in billions): 14

  • Quantizations: 4-bit, 8-bit, none

  • Engines: vLLM, Transformers (vLLM only available for quantization none)

  • Model ID: deepseek-ai/DeepSeek-R1-Distill-Qwen-14B

  • Model Hubs: Hugging Face, ModelScope

Execute the following command to launch the model, remember to replace ${quantization} with your chosen quantization method from the options listed above:

xinference launch --model-engine ${engine} --model-name deepseek-r1-distill-qwen --size-in-billions 14 --model-format pytorch --quantization ${quantization}

Model Spec 12 (awq, 14 Billion)#

  • Model Format: awq

  • Model Size (in billions): 14

  • Quantizations: Int4

  • Engines: vLLM, Transformers

  • Model ID: casperhansen/deepseek-r1-distill-qwen-14b-awq

  • Model Hubs: Hugging Face

Execute the following command to launch the model, remember to replace ${quantization} with your chosen quantization method from the options listed above:

xinference launch --model-engine ${engine} --model-name deepseek-r1-distill-qwen --size-in-billions 14 --model-format awq --quantization ${quantization}

Model Spec 13 (ggufv2, 14 Billion)#

  • Model Format: ggufv2

  • Model Size (in billions): 14

  • Quantizations: Q2_K, Q2_K_L, Q3_K_M, Q4_K_M, Q5_K_M, Q6_K, Q8_0, F16

  • Engines: llama.cpp

  • Model ID: unsloth/DeepSeek-R1-Distill-Qwen-14B-GGUF

  • Model Hubs: Hugging Face, ModelScope

Execute the following command to launch the model, remember to replace ${quantization} with your chosen quantization method from the options listed above:

xinference launch --model-engine ${engine} --model-name deepseek-r1-distill-qwen --size-in-billions 14 --model-format ggufv2 --quantization ${quantization}

Model Spec 14 (mlx, 14 Billion)#

  • Model Format: mlx

  • Model Size (in billions): 14

  • Quantizations: 3bit, 4bit, 6bit, 8bit, bf16

  • Engines: MLX

  • Model ID: mlx-community/DeepSeek-R1-Distill-Qwen-14B-{quantization}

  • Model Hubs: Hugging Face, ModelScope

Execute the following command to launch the model, remember to replace ${quantization} with your chosen quantization method from the options listed above:

xinference launch --model-engine ${engine} --model-name deepseek-r1-distill-qwen --size-in-billions 14 --model-format mlx --quantization ${quantization}

Model Spec 15 (pytorch, 32 Billion)#

  • Model Format: pytorch

  • Model Size (in billions): 32

  • Quantizations: 4-bit, 8-bit, none

  • Engines: vLLM, Transformers (vLLM only available for quantization none)

  • Model ID: deepseek-ai/DeepSeek-R1-Distill-Qwen-32B

  • Model Hubs: Hugging Face, ModelScope

Execute the following command to launch the model, remember to replace ${quantization} with your chosen quantization method from the options listed above:

xinference launch --model-engine ${engine} --model-name deepseek-r1-distill-qwen --size-in-billions 32 --model-format pytorch --quantization ${quantization}

Model Spec 16 (awq, 32 Billion)#

  • Model Format: awq

  • Model Size (in billions): 32

  • Quantizations: Int4

  • Engines: vLLM, Transformers

  • Model ID: casperhansen/deepseek-r1-distill-qwen-32b-awq

  • Model Hubs: Hugging Face

Execute the following command to launch the model, remember to replace ${quantization} with your chosen quantization method from the options listed above:

xinference launch --model-engine ${engine} --model-name deepseek-r1-distill-qwen --size-in-billions 32 --model-format awq --quantization ${quantization}

Model Spec 17 (ggufv2, 32 Billion)#

  • Model Format: ggufv2

  • Model Size (in billions): 32

  • Quantizations: Q2_K, Q2_K_L, Q3_K_M, Q4_K_M, Q5_K_M, Q6_K, Q8_0, F16

  • Engines: llama.cpp

  • Model ID: unsloth/DeepSeek-R1-Distill-Qwen-32B-GGUF

  • Model Hubs: Hugging Face, ModelScope

Execute the following command to launch the model, remember to replace ${quantization} with your chosen quantization method from the options listed above:

xinference launch --model-engine ${engine} --model-name deepseek-r1-distill-qwen --size-in-billions 32 --model-format ggufv2 --quantization ${quantization}

Model Spec 18 (mlx, 32 Billion)#

  • Model Format: mlx

  • Model Size (in billions): 32

  • Quantizations: 3bit, 4bit, 6bit, 8bit, bf16

  • Engines: MLX

  • Model ID: mlx-community/DeepSeek-R1-Distill-Qwen-32B-{quantization}

  • Model Hubs: Hugging Face, ModelScope

Execute the following command to launch the model, remember to replace ${quantization} with your chosen quantization method from the options listed above:

xinference launch --model-engine ${engine} --model-name deepseek-r1-distill-qwen --size-in-billions 32 --model-format mlx --quantization ${quantization}