c4ai-command-r-v01#

  • Context Length: 131072

  • Model Name: c4ai-command-r-v01

  • Languages: en, fr, de, es, it, pt, ja, ko, zh, ar

  • Abilities: chat

  • Description: C4AI Command-R(+) is a research release of a 35 and 104 billion parameter highly performant generative model.

Specifications#

Model Spec 1 (pytorch, 35 Billion)#

  • Model Format: pytorch

  • Model Size (in billions): 35

  • Quantizations: none

  • Engines: vLLM, Transformers

  • Model ID: CohereForAI/c4ai-command-r-v01

  • 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 c4ai-command-r-v01 --size-in-billions 35 --model-format pytorch --quantization ${quantization}

Model Spec 2 (pytorch, 35 Billion)#

  • Model Format: pytorch

  • Model Size (in billions): 35

  • Quantizations: 4-bit

  • Engines: Transformers

  • Model ID: CohereForAI/c4ai-command-r-v01-4bit

  • 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 c4ai-command-r-v01 --size-in-billions 35 --model-format pytorch --quantization ${quantization}

Model Spec 3 (ggufv2, 35 Billion)#

  • Model Format: ggufv2

  • Model Size (in billions): 35

  • 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: andrewcanis/c4ai-command-r-v01-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 c4ai-command-r-v01 --size-in-billions 35 --model-format ggufv2 --quantization ${quantization}

Model Spec 4 (pytorch, 104 Billion)#

  • Model Format: pytorch

  • Model Size (in billions): 104

  • Quantizations: none

  • Engines: vLLM, Transformers

  • Model ID: CohereForAI/c4ai-command-r-plus

  • 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 c4ai-command-r-v01 --size-in-billions 104 --model-format pytorch --quantization ${quantization}

Model Spec 5 (pytorch, 104 Billion)#

  • Model Format: pytorch

  • Model Size (in billions): 104

  • Quantizations: 4-bit

  • Engines: Transformers

  • Model ID: CohereForAI/c4ai-command-r-plus-4bit

  • 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 c4ai-command-r-v01 --size-in-billions 104 --model-format pytorch --quantization ${quantization}

Model Spec 6 (gptq, 104 Billion)#

  • Model Format: gptq

  • Model Size (in billions): 104

  • Quantizations: Int4

  • Engines: vLLM, Transformers

  • Model ID: alpindale/c4ai-command-r-plus-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 c4ai-command-r-v01 --size-in-billions 104 --model-format gptq --quantization ${quantization}