---
library_name: transformers
license: llama3.1
base_model:
- meta-llama/Meta-Llama-3.1-70B-Instruct
pipeline_tag: text-generation
---

Converted version of [Meta-Llama-3.1-70B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3.1-70B-Instruct) to 4-bit using bitsandbytes. For more information about the model, refer to the model's page.

## Impact on performance
Impact of quantization on a set of models.

Evaluation of the model was conducted using the PoLL (Pool of LLM) technique, assessing performance on **100 French questions** with scores aggregated from six evaluations
(two per evaluator). The evaluators included GPT-4o, Gemini-1.5-pro, and Claude3.5-sonnet.

Performance Scores (on a scale of 5):
| Model                                        | Score    | # params (Billion) | size (GB) |
|---------------------------------------------:|:--------:|:------------------:|:---------:|
| gpt-4o                                       | 4.13     | N/A                | N/A       |
| gpt-4o-mini                                  | 4.02     | N/A                | N/A       |
| Qwen/Qwen2.5-32B-Instruct                    | 3.99     | 32.8               | 65.6      |
| cmarkea/Qwen2.5-32B-Instruct-4bit            | 3.98     | 32.8               | 16.4      |
| mistralai/Mixtral-8x7B-Instruct-v0.1         | 3.71     | 46.7               | 93.4      |
| cmarkea/Mixtral-8x7B-Instruct-v0.1-4bit      | 3.68     | 46.7               | 23.35     |
| meta-llama/Meta-Llama-3.1-70B-Instruct       | 3.68     | 70.06              | 140.12    |
| gpt-3.5-turbo                                | 3.66     | 175                | 350       |
| **cmarkea/Meta-Llama-3.1-70B-Instruct-4bit** | **3.64** | **70.06**          | **35.3**  |
| TheBloke/Mixtral-8x7B-Instruct-v0.1-GPTQ     | 3.56     | 46.7               | 46.7      |
| meta-llama/Meta-Llama-3.1-8B-Instruct        | 3.25     | 8.03               | 16.06     |
| mistralai/Mistral-7B-Instruct-v0.2           | 1.98     | 7.25               | 14.5      |
| cmarkea/bloomz-7b1-mt-sft-chat               | 1.69     | 7.07               | 14.14     |
| cmarkea/bloomz-3b-dpo-chat                   | 1.68     | 3                  | 6         |
| cmarkea/bloomz-3b-sft-chat                   | 1.51     | 3                  | 6         |
| croissantllm/CroissantLLMChat-v0.1           | 1.19     | 1.3                | 2.7       |
| cmarkea/bloomz-560m-sft-chat                 | 1.04     | 0.56               | 1.12      |
| OpenLLM-France/Claire-Mistral-7B-0.1         | 0.38     | 7.25               | 14.5      |

The impact of quantization is negligible.

## Prompt Pattern
Here is a reminder of the command pattern to interact with the model:
```verbatim
<|start_header_id|>user<|end_header_id|>\n\n{user_prompt_1}<|eot_id|><|start_header_id|>assistant<|end_header_id|>\n\n{model_answer_1}...
```