mistral-instruct-v0.3#

  • Context Length: 32768

  • Model Name: mistral-instruct-v0.3

  • Languages: en

  • Abilities: chat

  • Description: The Mistral-7B-Instruct-v0.2 Large Language Model (LLM) is an improved instruct fine-tuned version of Mistral-7B-Instruct-v0.1.

Specifications#

Model Spec 1 (pytorch, 7 Billion)#

  • Model Format: pytorch

  • Model Size (in billions): 7

  • Quantizations: 4-bit, 8-bit, none

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

  • Model ID: mistralai/Mistral-7B-Instruct-v0.3

  • 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-instruct-v0.3 --size-in-billions 7 --model-format pytorch --quantization ${quantization}

Model Spec 2 (gptq, 7 Billion)#

  • Model Format: gptq

  • Model Size (in billions): 7

  • Quantizations: Int4

  • Engines: vLLM, Transformers

  • Model ID: neuralmagic/Mistral-7B-Instruct-v0.3-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-instruct-v0.3 --size-in-billions 7 --model-format gptq --quantization ${quantization}

Model Spec 3 (awq, 7 Billion)#

  • Model Format: awq

  • Model Size (in billions): 7

  • Quantizations: Int4

  • Engines: vLLM, Transformers

  • Model ID: solidrust/Mistral-7B-Instruct-v0.3-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-instruct-v0.3 --size-in-billions 7 --model-format awq --quantization ${quantization}

Model Spec 4 (ggufv2, 7 Billion)#

  • Model Format: ggufv2

  • Model Size (in billions): 7

  • 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-7B-Instruct-v0.3-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-instruct-v0.3 --size-in-billions 7 --model-format ggufv2 --quantization ${quantization}