mixtral-8x22B-instruct-v0.1#

  • Context Length: 65536

  • Model Name: mixtral-8x22B-instruct-v0.1

  • Languages: en, fr, it, de, es

  • Abilities: chat

  • Description: The Mixtral-8x22B-Instruct-v0.1 Large Language Model (LLM) is an instruct fine-tuned version of the Mixtral-8x22B-v0.1, specializing in chatting.

Specifications#

Model Spec 1 (pytorch, 141 Billion)#

  • Model Format: pytorch

  • Model Size (in billions): 141

  • Quantizations: 4-bit, 8-bit, none

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

  • Model ID: mistralai/Mixtral-8x22B-Instruct-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 mixtral-8x22B-instruct-v0.1 --size-in-billions 141 --model-format pytorch --quantization ${quantization}

Model Spec 2 (awq, 141 Billion)#

  • Model Format: awq

  • Model Size (in billions): 141

  • Quantizations: Int4

  • Engines: vLLM, Transformers

  • Model ID: MaziyarPanahi/Mixtral-8x22B-Instruct-v0.1-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 mixtral-8x22B-instruct-v0.1 --size-in-billions 141 --model-format awq --quantization ${quantization}

Model Spec 3 (gptq, 141 Billion)#

  • Model Format: gptq

  • Model Size (in billions): 141

  • Quantizations: Int4

  • Engines: vLLM, Transformers

  • Model ID: jarrelscy/Mixtral-8x22B-Instruct-v0.1-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 mixtral-8x22B-instruct-v0.1 --size-in-billions 141 --model-format gptq --quantization ${quantization}

Model Spec 4 (ggufv2, 141 Billion)#

  • Model Format: ggufv2

  • Model Size (in billions): 141

  • Quantizations: Q2_K, Q3_K_L, Q3_K_M, Q3_K_S, Q4_K_M, Q4_K_S, Q5_K_M, Q5_K_S, Q6, Q8_0, fp16

  • Engines: llama.cpp

  • Model ID: MaziyarPanahi/Mixtral-8x22B-Instruct-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 mixtral-8x22B-instruct-v0.1 --size-in-billions 141 --model-format ggufv2 --quantization ${quantization}