openhermes-2.5#

  • Context Length: 8192

  • Model Name: openhermes-2.5

  • Languages: en

  • Abilities: chat

  • Description: Openhermes 2.5 is a fine-tuned version of Mistral-7B-v0.1 on primarily GPT-4 generated data.

Specifications#

Model Spec 1 (pytorch, 7 Billion)#

  • Model Format: pytorch

  • Model Size (in billions): 7

  • Quantizations: 4-bit, 8-bit, none

  • Engines: Transformers

  • Model ID: teknium/OpenHermes-2.5-Mistral-7B

  • 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 openhermes-2.5 --size-in-billions 7 --model-format pytorch --quantization ${quantization}

Model Spec 2 (ggufv2, 7 Billion)#

  • Model Format: ggufv2

  • Model Size (in billions): 7

  • Quantizations: Q2_K, Q3_K_S, Q3_K_M, Q3_K_L, Q4_0, Q4_K_S, Q4_K_M, Q5_0, Q5_K_S, Q5_K_M, Q6_K, Q8_0

  • Engines: llama.cpp

  • Model ID: TheBloke/OpenHermes-2.5-Mistral-7B-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 openhermes-2.5 --size-in-billions 7 --model-format ggufv2 --quantization ${quantization}