---
license: mit
library_name: transformers
pipeline_tag: text-generation
model-index:
- name: Rubra-Phi-3-mini-128k-instruct
  results:
  - task:
      type: text-generation
    dataset:
      type: MMLU
      name: MMLU
    metrics:
    - type: 5-shot
      value: 66.66
      verified: false
  - task:
      type: text-generation
    dataset:
      type: GPQA
      name: GPQA
    metrics:
    - type: 0-shot
      value: 29.24
      verified: false
  - task:
      type: text-generation
    dataset:
      type: GSM-8K
      name: GSM-8K
    metrics:
    - type: 8-shot, CoT
      value: 74.09
      verified: false
  - task:
      type: text-generation
    dataset:
      type: MATH
      name: MATH
    metrics:
    - type: 4-shot, CoT
      value: 26.84
      verified: false
  - task:
      type: text-generation
    dataset:
      type: MT-bench
      name: MT-bench
    metrics:
    - type: GPT-4 as Judge
      value: 7.45
      verified: false
tags:
- function-calling
- tool-calling
- agentic
- rubra
- conversational
language:
- en
---

# Rubra Phi-3 Mini 128k Instruct

Original model: [rubra-ai/Phi-3-mini-128k-instruct](https://huggingface.co/rubra-ai/Phi-3-mini-128k-instruct)

## Model description
The model is the result of further post-training [microsoft/Phi-3-mini-128k-instruct](https://huggingface.co/microsoft/Phi-3-mini-128k-instruct). This model is designed for high performance in various instruction-following tasks and complex interactions, including multi-turn function calling and detailed conversations.

## Training Data
The model underwent additional training on a proprietary dataset encompassing diverse instruction-following, chat, and function calling data. This post-training process enhances the model's ability to integrate tools and manage complex interaction scenarios effectively.

## How to use
Refer to https://docs.rubra.ai/inference/llamacpp for usage. Feel free to ask/open issues up in our Github repo: https://github.com/rubra-ai/rubra