wizardcoder-python-v1.0#

  • Context Length: 100000

  • Model Name: wizardcoder-python-v1.0

  • Languages: en

  • Abilities: chat

  • Description:

Specifications#

Model Spec 1 (pytorch, 13 Billion)#

  • Model Format: pytorch

  • Model Size (in billions): 13

  • Quantizations: 4-bit, 8-bit, none

  • Engines: Transformers

  • Model ID: WizardLMTeam/WizardCoder-Python-13B-V1.0

  • 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 wizardcoder-python-v1.0 --size-in-billions 13 --model-format pytorch --quantization ${quantization}

Model Spec 2 (pytorch, 34 Billion)#

  • Model Format: pytorch

  • Model Size (in billions): 34

  • Quantizations: 4-bit, 8-bit, none

  • Engines: Transformers

  • Model ID: WizardLMTeam/WizardCoder-Python-34B-V1.0

  • 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 wizardcoder-python-v1.0 --size-in-billions 34 --model-format pytorch --quantization ${quantization}

Model Spec 3 (ggufv2, 7 Billion)#

  • Model Format: ggufv2

  • Model Size (in billions): 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/WizardCoder-Python-7B-V1.0-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 wizardcoder-python-v1.0 --size-in-billions 7 --model-format ggufv2 --quantization ${quantization}

Model Spec 4 (ggufv2, 13 Billion)#

  • Model Format: ggufv2

  • Model Size (in billions): 13

  • 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/WizardCoder-Python-13B-V1.0-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 wizardcoder-python-v1.0 --size-in-billions 13 --model-format ggufv2 --quantization ${quantization}

Model Spec 5 (ggufv2, 34 Billion)#

  • Model Format: ggufv2

  • Model Size (in billions): 34

  • 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/WizardCoder-Python-34B-V1.0-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 wizardcoder-python-v1.0 --size-in-billions 34 --model-format ggufv2 --quantization ${quantization}