mistral-large-instruct#

  • Context Length: 131072

  • Model Name: mistral-large-instruct

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

  • Abilities: chat

  • Description: Mistral-Large-Instruct-2407 is an advanced dense Large Language Model (LLM) of 123B parameters with state-of-the-art reasoning, knowledge and coding capabilities.

Specifications#

Model Spec 1 (pytorch, 123 Billion)#

  • Model Format: pytorch

  • Model Size (in billions): 123

  • Quantizations: none

  • Engines: vLLM, Transformers

  • Model ID: mistralai/Mistral-Large-Instruct-2407

  • 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 mistral-large-instruct --size-in-billions 123 --model-format pytorch --quantization ${quantization}

Model Spec 2 (pytorch, 123 Billion)#

  • Model Format: pytorch

  • Model Size (in billions): 123

  • Quantizations: 4-bit

  • Engines: Transformers

  • Model ID: unsloth/Mistral-Large-Instruct-2407-bnb-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 mistral-large-instruct --size-in-billions 123 --model-format pytorch --quantization ${quantization}

Model Spec 3 (gptq, 123 Billion)#

  • Model Format: gptq

  • Model Size (in billions): 123

  • Quantizations: Int4

  • Engines: vLLM, Transformers

  • Model ID: ModelCloud/Mistral-Large-Instruct-2407-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 mistral-large-instruct --size-in-billions 123 --model-format gptq --quantization ${quantization}

Model Spec 4 (awq, 123 Billion)#

  • Model Format: awq

  • Model Size (in billions): 123

  • Quantizations: Int4

  • Engines: vLLM, Transformers

  • Model ID: TechxGenus/Mistral-Large-Instruct-2407-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 mistral-large-instruct --size-in-billions 123 --model-format awq --quantization ${quantization}

Model Spec 5 (ggufv2, 123 Billion)#

  • Model Format: ggufv2

  • Model Size (in billions): 123

  • Quantizations: Q2_K, Q3_K_S, Q3_K_M, Q3_K_L, Q4_K_S, Q4_K_M

  • Engines: llama.cpp

  • Model ID: MaziyarPanahi/Mistral-Large-Instruct-2407-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 mistral-large-instruct --size-in-billions 123 --model-format ggufv2 --quantization ${quantization}

Model Spec 6 (mlx, 123 Billion)#

  • Model Format: mlx

  • Model Size (in billions): 123

  • Quantizations: none

  • Engines: MLX

  • Model ID: mlx-community/Mistral-Large-Instruct-2407-bf16

  • 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 mistral-large-instruct --size-in-billions 123 --model-format mlx --quantization ${quantization}

Model Spec 7 (mlx, 123 Billion)#

  • Model Format: mlx

  • Model Size (in billions): 123

  • Quantizations: 4-bit

  • Engines: MLX

  • Model ID: mlx-community/Mistral-Large-Instruct-2407-4bit

  • 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 mistral-large-instruct --size-in-billions 123 --model-format mlx --quantization ${quantization}

Model Spec 8 (mlx, 123 Billion)#

  • Model Format: mlx

  • Model Size (in billions): 123

  • Quantizations: 8-bit

  • Engines: MLX

  • Model ID: mlx-community/Mistral-Large-Instruct-2407-8bit

  • 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 mistral-large-instruct --size-in-billions 123 --model-format mlx --quantization ${quantization}