llama-3.3-instruct#

  • Context Length: 131072

  • Model Name: llama-3.3-instruct

  • Languages: en, de, fr, it, pt, hi, es, th

  • Abilities: chat, tools

  • Description: The Llama 3.3 instruction tuned models are optimized for dialogue use cases and outperform many of the available open source chat models on common industry benchmarks..

Specifications#

Model Spec 1 (pytorch, 70 Billion)#

  • Model Format: pytorch

  • Model Size (in billions): 70

  • Quantizations: none

  • Engines: vLLM, Transformers, SGLang

  • Model ID: meta-llama/Llama-3.3-70B-Instruct

  • 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 llama-3.3-instruct --size-in-billions 70 --model-format pytorch --quantization ${quantization}

Model Spec 2 (gptq, 70 Billion)#

  • Model Format: gptq

  • Model Size (in billions): 70

  • Quantizations: Int4

  • Engines: vLLM, Transformers, SGLang

  • Model ID: shuyuej/Llama-3.3-70B-Instruct-GPTQ

  • 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 llama-3.3-instruct --size-in-billions 70 --model-format gptq --quantization ${quantization}

Model Spec 3 (awq, 70 Billion)#

  • Model Format: awq

  • Model Size (in billions): 70

  • Quantizations: Int4

  • Engines: vLLM, Transformers, SGLang

  • Model ID: casperhansen/llama-3.3-70b-instruct-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 llama-3.3-instruct --size-in-billions 70 --model-format awq --quantization ${quantization}

Model Spec 4 (mlx, 70 Billion)#

  • Model Format: mlx

  • Model Size (in billions): 70

  • Quantizations: 3bit, 4bit, 6bit, 8bit, fp16

  • Engines: MLX

  • Model ID: mlx-community/Llama-3.3-70B-Instruct-{quantization}

  • 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 llama-3.3-instruct --size-in-billions 70 --model-format mlx --quantization ${quantization}

Model Spec 5 (ggufv2, 70 Billion)#

  • Model Format: ggufv2

  • Model Size (in billions): 70

  • Quantizations: Q3_K_L, Q4_K_M, Q6_K, Q8_0

  • Engines: llama.cpp

  • Model ID: lmstudio-community/Llama-3.3-70B-Instruct-GGUF

  • 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 llama-3.3-instruct --size-in-billions 70 --model-format ggufv2 --quantization ${quantization}