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}