---
pipeline_tag: text-generation
base_model: ibm-granite/granite-8b-code-instruct-4k
inference: false
license: apache-2.0
datasets:
- bigcode/commitpackft
- TIGER-Lab/MathInstruct
- meta-math/MetaMathQA
- glaiveai/glaive-code-assistant-v3
- glaive-function-calling-v2
- bugdaryan/sql-create-context-instruction
- garage-bAInd/Open-Platypus
- nvidia/HelpSteer
metrics:
- code_eval
library_name: transformers
tags:
- code
- granite
- openvino
- openvino-export
model-index:
- name: granite-8b-code-instruct-4k
  results:
  - task:
      type: text-generation
    dataset:
      name: HumanEvalSynthesis(Python)
      type: bigcode/humanevalpack
    metrics:
    - type: pass@1
      value: 57.9
      name: pass@1
    - type: pass@1
      value: 52.4
      name: pass@1
    - type: pass@1
      value: 58.5
      name: pass@1
    - type: pass@1
      value: 43.3
      name: pass@1
    - type: pass@1
      value: 48.2
      name: pass@1
    - type: pass@1
      value: 37.2
      name: pass@1
    - type: pass@1
      value: 53.0
      name: pass@1
    - type: pass@1
      value: 42.7
      name: pass@1
    - type: pass@1
      value: 52.4
      name: pass@1
    - type: pass@1
      value: 36.6
      name: pass@1
    - type: pass@1
      value: 43.9
      name: pass@1
    - type: pass@1
      value: 16.5
      name: pass@1
    - type: pass@1
      value: 39.6
      name: pass@1
    - type: pass@1
      value: 40.9
      name: pass@1
    - type: pass@1
      value: 48.2
      name: pass@1
    - type: pass@1
      value: 41.5
      name: pass@1
    - type: pass@1
      value: 39.0
      name: pass@1
    - type: pass@1
      value: 32.9
      name: pass@1
---

This model was converted to OpenVINO from [`ibm-granite/granite-8b-code-instruct-4k`](https://huggingface.co/ibm-granite/granite-8b-code-instruct-4k) using [optimum-intel](https://github.com/huggingface/optimum-intel)
via the [export](https://huggingface.co/spaces/echarlaix/openvino-export) space.

First make sure you have optimum-intel installed:

```bash
pip install optimum[openvino]
```

To load your model you can do as follows:

```python
from optimum.intel import OVModelForCausalLM

model_id = "NitroLLM/granite-8b-code-instruct-4k-openvino"
model = OVModelForCausalLM.from_pretrained(model_id)
```