deepseek-coder-instruct#
Context Length: 16384
Model Name: deepseek-coder-instruct
Languages: en, zh
Abilities: chat
Description: deepseek-coder-instruct is a model initialized from deepseek-coder-base and fine-tuned on 2B tokens of instruction data.
Specifications#
Model Spec 1 (pytorch, 1_3 Billion)#
Model Format: pytorch
Model Size (in billions): 1_3
Quantizations: 4-bit, 8-bit, none
Engines: vLLM, Transformers (vLLM only available for quantization none)
Model ID: deepseek-ai/deepseek-coder-1.3b-instruct
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-coder-instruct --size-in-billions 1_3 --model-format pytorch --quantization ${quantization}
Model Spec 2 (pytorch, 6_7 Billion)#
Model Format: pytorch
Model Size (in billions): 6_7
Quantizations: 4-bit, 8-bit, none
Engines: vLLM, Transformers (vLLM only available for quantization none)
Model ID: deepseek-ai/deepseek-coder-6.7b-instruct
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-coder-instruct --size-in-billions 6_7 --model-format pytorch --quantization ${quantization}
Model Spec 3 (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-coder-7b-instruct-v1.5
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-coder-instruct --size-in-billions 7 --model-format pytorch --quantization ${quantization}
Model Spec 4 (pytorch, 33 Billion)#
Model Format: pytorch
Model Size (in billions): 33
Quantizations: 4-bit, 8-bit, none
Engines: vLLM, Transformers (vLLM only available for quantization none)
Model ID: deepseek-ai/deepseek-coder-33b-instruct
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-coder-instruct --size-in-billions 33 --model-format pytorch --quantization ${quantization}
Model Spec 5 (ggufv2, 1_3 Billion)#
Model Format: ggufv2
Model Size (in billions): 1_3
Quantizations: Q2_K, Q3_K_L, Q3_K_M, Q3_K_S, Q4_0, Q4_K_M, Q4_K_S, Q5_0, Q5_K_M, Q5_K_S, Q6_K, Q8_0
Engines: llama.cpp
Model ID: TheBloke/deepseek-coder-1.3b-instruct-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-coder-instruct --size-in-billions 1_3 --model-format ggufv2 --quantization ${quantization}
Model Spec 6 (ggufv2, 6_7 Billion)#
Model Format: ggufv2
Model Size (in billions): 6_7
Quantizations: Q2_K, Q3_K_L, Q3_K_M, Q3_K_S, Q4_0, Q4_K_M, Q4_K_S, Q5_0, Q5_K_M, Q5_K_S, Q6_K, Q8_0
Engines: llama.cpp
Model ID: TheBloke/deepseek-coder-6.7B-instruct-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-coder-instruct --size-in-billions 6_7 --model-format ggufv2 --quantization ${quantization}
Model Spec 7 (ggufv2, 7 Billion)#
Model Format: ggufv2
Model Size (in billions): 7
Quantizations: Q3_K_L, Q3_K_M, Q3_K_S, Q4_0, Q4_K_M, Q4_K_S, Q5_0, Q5_K_M, Q5_K_S, Q6_K, Q8_0
Engines: llama.cpp
Model ID: LoneStriker/deepseek-coder-7b-instruct-v1.5-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-coder-instruct --size-in-billions 7 --model-format ggufv2 --quantization ${quantization}
Model Spec 8 (ggufv2, 33 Billion)#
Model Format: ggufv2
Model Size (in billions): 33
Quantizations: Q2_K, Q3_K_L, Q3_K_M, Q3_K_S, Q4_0, Q4_K_M, Q4_K_S, Q5_0, Q5_K_M, Q5_K_S, Q6_K, Q8_0
Engines: llama.cpp
Model ID: TheBloke/deepseek-coder-33B-instruct-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-coder-instruct --size-in-billions 33 --model-format ggufv2 --quantization ${quantization}
Model Spec 9 (gptq, 1_3 Billion)#
Model Format: gptq
Model Size (in billions): 1_3
Quantizations: Int4
Engines: vLLM, Transformers
Model ID: TheBloke/deepseek-coder-1.3b-instruct-GPTQ
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-coder-instruct --size-in-billions 1_3 --model-format gptq --quantization ${quantization}
Model Spec 10 (gptq, 6_7 Billion)#
Model Format: gptq
Model Size (in billions): 6_7
Quantizations: Int4
Engines: vLLM, Transformers
Model ID: TheBloke/deepseek-coder-6.7B-instruct-GPTQ
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-coder-instruct --size-in-billions 6_7 --model-format gptq --quantization ${quantization}
Model Spec 11 (gptq, 33 Billion)#
Model Format: gptq
Model Size (in billions): 33
Quantizations: Int4
Engines: vLLM, Transformers
Model ID: TheBloke/deepseek-coder-33B-instruct-GPTQ
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-coder-instruct --size-in-billions 33 --model-format gptq --quantization ${quantization}
Model Spec 12 (awq, 1_3 Billion)#
Model Format: awq
Model Size (in billions): 1_3
Quantizations: Int4
Engines: vLLM, Transformers
Model ID: TheBloke/deepseek-coder-1.3b-instruct-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-coder-instruct --size-in-billions 1_3 --model-format awq --quantization ${quantization}
Model Spec 13 (awq, 6_7 Billion)#
Model Format: awq
Model Size (in billions): 6_7
Quantizations: Int4
Engines: vLLM, Transformers
Model ID: TheBloke/deepseek-coder-6.7B-instruct-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-coder-instruct --size-in-billions 6_7 --model-format awq --quantization ${quantization}
Model Spec 14 (awq, 33 Billion)#
Model Format: awq
Model Size (in billions): 33
Quantizations: Int4
Engines: vLLM, Transformers
Model ID: TheBloke/deepseek-coder-33B-instruct-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-coder-instruct --size-in-billions 33 --model-format awq --quantization ${quantization}