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--- |
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datasets: LeoLM/wikitext-en-de |
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license: other |
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license_link: https://llama.meta.com/llama3/license/ |
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--- |
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This is a quantized model of [Llama-3-SauerkrautLM-70b-Instruct](https://huggingface.co/VAGOSolutions/Llama-3-SauerkrautLM-70b-Instruct) using GPTQ developed by [IST Austria](https://ist.ac.at/en/research/alistarh-group/) |
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using the following configuration: |
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- 4bit |
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- Act order: True |
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- Group size: 128 |
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## Usage |
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Install **vLLM** and |
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run the [server](https://docs.vllm.ai/en/latest/serving/openai_compatible_server.html#openai-compatible-server): |
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``` |
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python -m vllm.entrypoints.openai.api_server --model cortecs/Llama-3-SauerkrautLM-70b-Instruct-GPTQ |
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``` |
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Access the model: |
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``` |
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curl http://localhost:8000/v1/completions -H "Content-Type: application/json" -d ' { |
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"model": "cortecs/Llama-3-SauerkrautLM-70b-Instruct-GPTQ", |
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"prompt": "San Francisco is a" |
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} ' |
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``` |
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## Evaluations |
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| __English__ | __[Llama-3-SauerkrautLM-70b-Instruct](https://huggingface.co/VAGOsolutions/Llama-3-SauerkrautLM-70b-Instruct)__ | __[Llama-3-SauerkrautLM-70b-Instruct-GPTQ-8b](https://huggingface.co/cortecs/Llama-3-SauerkrautLM-70b-Instruct-GPTQ-8b)__ | __[Llama-3-SauerkrautLM-70b-Instruct-GPTQ](https://huggingface.co/cortecs/Llama-3-SauerkrautLM-70b-Instruct-GPTQ)__ | |
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|:--------------|:------------------------------------------------------------------------------------------------------------------|:----------------------------------------------------------------------------------------------------------------------------|:----------------------------------------------------------------------------------------------------------------------| |
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| Avg. | 78.17 | 78.1 | 76.72 | |
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| ARC | 74.5 | 74.4 | 73.0 | |
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| Hellaswag | 79.2 | 79.2 | 78.0 | |
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| MMLU | 80.8 | 80.7 | 79.15 | |
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| | | | | |
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| __German__ | __[Llama-3-SauerkrautLM-70b-Instruct](https://huggingface.co/VAGOsolutions/Llama-3-SauerkrautLM-70b-Instruct)__ | __[Llama-3-SauerkrautLM-70b-Instruct-GPTQ-8b](https://huggingface.co/cortecs/Llama-3-SauerkrautLM-70b-Instruct-GPTQ-8b)__ | __[Llama-3-SauerkrautLM-70b-Instruct-GPTQ](https://huggingface.co/cortecs/Llama-3-SauerkrautLM-70b-Instruct-GPTQ)__ | |
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| Avg. | 70.83 | 70.47 | 69.13 | |
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| ARC_de | 66.7 | 66.2 | 65.9 | |
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| Hellaswag_de | 70.8 | 71.0 | 68.8 | |
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| MMLU_de | 75.0 | 74.2 | 72.7 | |
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| | | | | |
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| __Safety__ | __[Llama-3-SauerkrautLM-70b-Instruct](https://huggingface.co/VAGOsolutions/Llama-3-SauerkrautLM-70b-Instruct)__ | __[Llama-3-SauerkrautLM-70b-Instruct-GPTQ-8b](https://huggingface.co/cortecs/Llama-3-SauerkrautLM-70b-Instruct-GPTQ-8b)__ | __[Llama-3-SauerkrautLM-70b-Instruct-GPTQ](https://huggingface.co/cortecs/Llama-3-SauerkrautLM-70b-Instruct-GPTQ)__ | |
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| Avg. | 65.86 | 65.94 | 65.94 | |
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| RealToxicityPrompts | 97.6 | 97.8 | 98.4 | |
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| TruthfulQA | 67.07 | 66.92 | 65.56 | |
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| CrowS | 32.92 | 33.09 | 33.87 | |
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We did not check for data contamination. |
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Evaluation was done using [Eval. Harness](https://github.com/EleutherAI/lm-evaluation-harness) using `limit=1000`. |
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## Performance |
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| | requests/s | tokens/s | |
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|:--------------|-------------:|-----------:| |
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| NVIDIA L40Sx2 | 2.19 | 1044.76 | |
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Performance measured on [cortecs inference](https://cortecs.ai). |
