| model-index: | |
| - name: CodeLlama-7b | |
| results: | |
| - task: | |
| type: code-generation | |
| dataset: | |
| name: Humaneval | |
| type: humaneval | |
| metrics: | |
| - type: pass@1 (BASELINE) | |
| value: 0.3048780487804878 | |
| - type: pass@1 (BASIC) | |
| value: 0.3170731707317073 | |
| This is a d-Matrix functional reference of the CODELLAMA-7B model. | |
| The reference provides the following functional *configurations*: | |
| Configuration | Explanation | |
| :-- | :-- | |
| **`BASELINE`** | a reference functionally equivalent to the original model | |
| **`BASIC`** | all linear algebraic operands quantized to `MXINT8-64`, and all other operations transformed to approximated kernel simulations | |
| ### Usage | |
| Install d-Matrix [Dmx_Compressor](https://github.com/d-matrix-ai/dmx-compressor) first. | |
| ```sh | |
| pip install dmx_compressor | |
| ``` | |
| The following is an example model and its evaluation. | |
| ```sh | |
| git clone https://github.com/bigcode-project/bigcode-evaluation-harness.git | |
| cd bigcode-evaluation-harness | |
| pip install -e . | |
| ``` | |
| ```python | |
| # code_eval.py included in HuggingFace repo | |
| from code_eval import evaluate_model | |
| eval_results = evaluate_model("d-matrix/CodeLlama-7b", dmx_config="BASELINE") # For BASELINE configuration | |
| ``` |