|
--- |
|
library_name: transformers |
|
license: llama2 |
|
base_model: |
|
- codellama/CodeLlama-70b-Instruct-hf |
|
pipeline_tag: text-generation |
|
--- |
|
|
|
Converted version of [CodeLlama-70b-Instruct-hf](https://huggingface.co/codellama/CodeLlama-70b-Instruct-hf) to 4-bit using bitsandbytes. For more information |
|
about the model, refer to the model's page. |
|
|
|
Impact on performance |
|
|
|
We evaluated the models using a panel of giga-models (GPT-4o, Gemini Pro 1.5, and Claude-Sonnet 3.5). The scoring ranged from 0, indicating a model unsuitable |
|
for the task, to 5, representing a model that fully met expectations. The evaluation was based on 67 instructions across four programming languages: Python, |
|
Java, JavaScript, and Pseudo-code. All tests were conducted in a French-language context, and models were heavily penalized if they responded in another language, |
|
even if the response was technically correct. |
|
|
|
| model | score | # params (Billion) | size (GB) | |
|
|------------------------------------------------:|:--------:|:------------------:|:---------:| |
|
| gemini-1.5-pro | 4.51 | NA | NA | |
|
| gpt-4o | 4.51 | NA | NA | |
|
| claude3.5-sonnet | 4.49 | NA | NA | |
|
| deepseek-ai/DeepSeek-Coder-V2-Lite-Instruct | 4.24 | 15.7 | 31.4 | |
|
| meta-llama/Meta-Llama-3.1-70B-Instruct | 4.23 | 70.06 | 140.12 | |
|
| cmarkea/Meta-Llama-3.1-70B-Instruct-4bit | 4.14 | 70.06 | 35.3 | |
|
| cmarkea/Mixtral-8x7B-Instruct-v0.1-4bit | 3.8 | 46.7 | 23.35 | |
|
| meta-llama/Meta-Llama-3.1-8B-Instruct | 3.73 | 8.03 | 16.06 | |
|
| mistralai/Mixtral-8x7B-Instruct-v0.1 | 3.33 | 46.7 | 93.4 | |
|
| codellama/CodeLlama-13b-Instruct-hf | 3.33 | 13 | 26 | |
|
| codellama/CodeLlama-34b-Instruct-hf | 3.27 | 33.7 | 67.4 | |
|
| codellama/CodeLlama-7b-Instruct-hf | 3.19 | 6.74 | 13.48 | |
|
| cmarkea/CodeLlama-34b-Instruct-hf-4bit | 3.12 | 33.7 | 16.85 | |
|
| codellama/CodeLlama-70b-Instruct-hf | 1.82 | 69 | 138 | |
|
| **cmarkea/CodeLlama-70b-Instruct-hf-4bit** | **1.64** | **69** | **34.5** | |
