codestral-v0.1#

  • Context Length: 32768

  • Model Name: codestral-v0.1

  • Languages: en

  • Abilities: generate

  • Description: Codestrall-22B-v0.1 is trained on a diverse dataset of 80+ programming languages, including the most popular ones, such as Python, Java, C, C++, JavaScript, and Bash

Specifications#

Model Spec 1 (pytorch, 22 Billion)#

  • Model Format: pytorch

  • Model Size (in billions): 22

  • Quantizations: 4-bit, 8-bit, none

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

  • Model ID: mistralai/Codestral-22B-v0.1

  • 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 codestral-v0.1 --size-in-billions 22 --model-format pytorch --quantization ${quantization}

Model Spec 2 (ggufv2, 22 Billion)#

  • Model Format: ggufv2

  • Model Size (in billions): 22

  • Quantizations: Q2_K, Q3_K_S, Q3_K_M, Q3_K_L, Q4_K_S, Q4_K_M, Q5_K_S, Q5_K_M, Q6_K, Q8_0

  • Engines: llama.cpp

  • Model ID: bartowski/Codestral-22B-v0.1-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 codestral-v0.1 --size-in-billions 22 --model-format ggufv2 --quantization ${quantization}

Model Spec 3 (mlx, 22 Billion)#

  • Model Format: mlx

  • Model Size (in billions): 22

  • Quantizations: 4-bit

  • Engines: MLX

  • Model ID: mlx-community/Codestral-22B-v0.1-4bit

  • 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 codestral-v0.1 --size-in-billions 22 --model-format mlx --quantization ${quantization}

Model Spec 4 (mlx, 22 Billion)#

  • Model Format: mlx

  • Model Size (in billions): 22

  • Quantizations: 8-bit

  • Engines: MLX

  • Model ID: mlx-community/Codestral-22B-v0.1-8bit

  • 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 codestral-v0.1 --size-in-billions 22 --model-format mlx --quantization ${quantization}