deepseek-r1-distill-llama#

  • Context Length: 131072

  • Model Name: deepseek-r1-distill-llama

  • Languages: en, zh

  • Abilities: chat

  • Description: deepseek-r1-distill-llama is distilled from DeepSeek-R1 based on Llama

Specifications#

Model Spec 1 (pytorch, 8 Billion)#

  • Model Format: pytorch

  • Model Size (in billions): 8

  • Quantizations: 4-bit, 8-bit, none

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

  • Model ID: deepseek-ai/DeepSeek-R1-Distill-Llama-8B

  • 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-llama --size-in-billions 8 --model-format pytorch --quantization ${quantization}

Model Spec 2 (awq, 8 Billion)#

  • Model Format: awq

  • Model Size (in billions): 8

  • Quantizations: Int4

  • Engines: vLLM, Transformers

  • Model ID: jakiAJK/DeepSeek-R1-Distill-Llama-8B_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-llama --size-in-billions 8 --model-format awq --quantization ${quantization}

Model Spec 3 (gptq, 8 Billion)#

  • Model Format: gptq

  • Model Size (in billions): 8

  • Quantizations: Int4

  • Engines: vLLM, Transformers

  • Model ID: jakiAJK/DeepSeek-R1-Distill-Llama-8B_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-llama --size-in-billions 8 --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, F16

  • Engines: llama.cpp

  • Model ID: unsloth/DeepSeek-R1-Distill-Llama-8B-GGUF

  • 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-llama --size-in-billions 1_5 --model-format ggufv2 --quantization ${quantization}

Model Spec 5 (mlx, 8 Billion)#

  • Model Format: mlx

  • Model Size (in billions): 8

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

  • Engines: MLX

  • Model ID: mlx-community/DeepSeek-R1-Distill-Llama-8B-{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-llama --size-in-billions 8 --model-format mlx --quantization ${quantization}

Model Spec 6 (pytorch, 70 Billion)#

  • Model Format: pytorch

  • Model Size (in billions): 70

  • Quantizations: 4-bit, 8-bit, none

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

  • Model ID: deepseek-ai/DeepSeek-R1-Distill-Llama-70B

  • 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-llama --size-in-billions 70 --model-format pytorch --quantization ${quantization}

Model Spec 7 (awq, 70 Billion)#

  • Model Format: awq

  • Model Size (in billions): 70

  • Quantizations: Int4

  • Engines: vLLM, Transformers

  • Model ID: casperhansen/deepseek-r1-distill-llama-70b-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-llama --size-in-billions 70 --model-format awq --quantization ${quantization}

Model Spec 8 (gptq, 70 Billion)#

  • Model Format: gptq

  • Model Size (in billions): 70

  • Quantizations: Int4

  • Engines: vLLM, Transformers

  • Model ID: empirischtech/DeepSeek-R1-Distill-Llama-70B-gptq-4bit

  • 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-llama --size-in-billions 70 --model-format gptq --quantization ${quantization}

Model Spec 9 (ggufv2, 70 Billion)#

  • Model Format: ggufv2

  • Model Size (in billions): 70

  • 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-Llama-70B-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-llama --size-in-billions 70 --model-format ggufv2 --quantization ${quantization}

Model Spec 10 (mlx, 70 Billion)#

  • Model Format: mlx

  • Model Size (in billions): 70

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

  • Engines: MLX

  • Model ID: mlx-community/DeepSeek-R1-Distill-Llama-70B-{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-llama --size-in-billions 70 --model-format mlx --quantization ${quantization}