mistral-nemo-instruct#

  • Context Length: 1024000

  • Model Name: mistral-nemo-instruct

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

  • Abilities: chat

  • Description: The Mistral-Nemo-Instruct-2407 Large Language Model (LLM) is an instruct fine-tuned version of the Mistral-Nemo-Base-2407

Specifications#

Model Spec 1 (pytorch, 12 Billion)#

  • Model Format: pytorch

  • Model Size (in billions): 12

  • Quantizations: none

  • Engines: vLLM, Transformers

  • Model ID: mistralai/Mistral-Nemo-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-nemo-instruct --size-in-billions 12 --model-format pytorch --quantization ${quantization}

Model Spec 2 (pytorch, 12 Billion)#

  • Model Format: pytorch

  • Model Size (in billions): 12

  • Quantizations: 4-bit

  • Engines: Transformers

  • Model ID: unsloth/Mistral-Nemo-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-nemo-instruct --size-in-billions 12 --model-format pytorch --quantization ${quantization}

Model Spec 3 (pytorch, 12 Billion)#

  • Model Format: pytorch

  • Model Size (in billions): 12

  • Quantizations: 8-bit

  • Engines: Transformers

  • Model ID: afrizalha/Mistral-Nemo-Instruct-2407-bnb-8bit

  • 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-nemo-instruct --size-in-billions 12 --model-format pytorch --quantization ${quantization}

Model Spec 4 (gptq, 12 Billion)#

  • Model Format: gptq

  • Model Size (in billions): 12

  • Quantizations: Int4

  • Engines: vLLM, Transformers

  • Model ID: ModelCloud/Mistral-Nemo-Instruct-2407-gptq-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-nemo-instruct --size-in-billions 12 --model-format gptq --quantization ${quantization}

Model Spec 5 (awq, 12 Billion)#

  • Model Format: awq

  • Model Size (in billions): 12

  • Quantizations: Int4

  • Engines: vLLM, Transformers

  • Model ID: casperhansen/mistral-nemo-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-nemo-instruct --size-in-billions 12 --model-format awq --quantization ${quantization}

Model Spec 6 (ggufv2, 12 Billion)#

  • Model Format: ggufv2

  • Model Size (in billions): 12

  • 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, fp16

  • Engines: llama.cpp

  • Model ID: MaziyarPanahi/Mistral-Nemo-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-nemo-instruct --size-in-billions 12 --model-format ggufv2 --quantization ${quantization}

Model Spec 7 (mlx, 12 Billion)#

  • Model Format: mlx

  • Model Size (in billions): 12

  • Quantizations: none

  • Engines: MLX

  • Model ID: mlx-community/Mistral-Nemo-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-nemo-instruct --size-in-billions 12 --model-format mlx --quantization ${quantization}

Model Spec 8 (mlx, 12 Billion)#

  • Model Format: mlx

  • Model Size (in billions): 12

  • Quantizations: 4-bit

  • Engines: MLX

  • Model ID: mlx-community/Mistral-Nemo-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-nemo-instruct --size-in-billions 12 --model-format mlx --quantization ${quantization}

Model Spec 9 (mlx, 12 Billion)#

  • Model Format: mlx

  • Model Size (in billions): 12

  • Quantizations: 8-bit

  • Engines: MLX

  • Model ID: mlx-community/Mistral-Nemo-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-nemo-instruct --size-in-billions 12 --model-format mlx --quantization ${quantization}