.. _models_llm_orca:

========================================
orca
========================================

- **Context Length:** 2048
- **Model Name:** orca
- **Languages:** en
- **Abilities:** chat
- **Description:** Orca is an LLM trained by fine-tuning LLaMA on explanation traces obtained from GPT-4.

Specifications
^^^^^^^^^^^^^^


Model Spec 1 (ggmlv3, 3 Billion)
++++++++++++++++++++++++++++++++++++++++

- **Model Format:** ggmlv3
- **Model Size (in billions):** 3
- **Quantizations:** q4_0, q4_1, q5_0, q5_1, q8_0
- **Engines**: llama.cpp
- **Model ID:** TheBloke/orca_mini_3B-GGML
- **Model Hubs**:  `Hugging Face <https://huggingface.co/TheBloke/orca_mini_3B-GGML>`__

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 orca --size-in-billions 3 --model-format ggmlv3 --quantization ${quantization}


Model Spec 2 (ggmlv3, 7 Billion)
++++++++++++++++++++++++++++++++++++++++

- **Model Format:** ggmlv3
- **Model Size (in billions):** 7
- **Quantizations:** q4_0, q4_1, q5_0, q5_1, q8_0
- **Engines**: llama.cpp
- **Model ID:** TheBloke/orca_mini_7B-GGML
- **Model Hubs**:  `Hugging Face <https://huggingface.co/TheBloke/orca_mini_7B-GGML>`__

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 orca --size-in-billions 7 --model-format ggmlv3 --quantization ${quantization}


Model Spec 3 (ggmlv3, 13 Billion)
++++++++++++++++++++++++++++++++++++++++

- **Model Format:** ggmlv3
- **Model Size (in billions):** 13
- **Quantizations:** q4_0, q4_1, q5_0, q5_1, q8_0
- **Engines**: llama.cpp
- **Model ID:** TheBloke/orca_mini_13B-GGML
- **Model Hubs**:  `Hugging Face <https://huggingface.co/TheBloke/orca_mini_13B-GGML>`__

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 orca --size-in-billions 13 --model-format ggmlv3 --quantization ${quantization}