internlm3-instruct#

  • Context Length: 32768

  • Model Name: internlm3-instruct

  • Languages: en, zh

  • Abilities: chat, tools

  • Description: InternLM3 has open-sourced an 8-billion parameter instruction model, InternLM3-8B-Instruct, designed for general-purpose usage and advanced reasoning.

Specifications#

Model Spec 1 (pytorch, 8 Billion)#

  • Model Format: pytorch

  • Model Size (in billions): 8

  • Quantizations: 4-bit, 8-bit, none

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

  • Model ID: internlm/internlm3-8b-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 internlm3-instruct --size-in-billions 8 --model-format pytorch --quantization ${quantization}

Model Spec 2 (gptq, 8 Billion)#

  • Model Format: gptq

  • Model Size (in billions): 8

  • Quantizations: Int4

  • Engines: vLLM, Transformers

  • Model ID: internlm/internlm3-8b-instruct-gptq-int4

  • 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 internlm3-instruct --size-in-billions 8 --model-format gptq --quantization ${quantization}

Model Spec 3 (awq, 8 Billion)#

  • Model Format: awq

  • Model Size (in billions): 8

  • Quantizations: Int4

  • Engines: vLLM, Transformers

  • Model ID: internlm/internlm3-8b-instruct-awq

  • 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 internlm3-instruct --size-in-billions 8 --model-format awq --quantization ${quantization}

Model Spec 4 (ggufv2, 8 Billion)#

  • Model Format: ggufv2

  • Model Size (in billions): 8

  • Quantizations: q2_k, q3_k_m, q4_0, q4_k_m, q5_0, q5_k_m, q6_k, q8_0

  • Engines: llama.cpp

  • Model ID: internlm/internlm3-8b-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 internlm3-instruct --size-in-billions 8 --model-format ggufv2 --quantization ${quantization}

Model Spec 5 (mlx, 8 Billion)#

  • Model Format: mlx

  • Model Size (in billions): 8

  • Quantizations: 4bit

  • Engines: MLX

  • Model ID: mlx-community/internlm3-8b-instruct-{quantization}

  • 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 internlm3-instruct --size-in-billions 8 --model-format mlx --quantization ${quantization}