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--- |
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license: llama3 |
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language: |
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- de |
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library_name: transformers |
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--- |
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# Llama3_DiscoLeo_8B_DARE_Experimental_4bit_awq_glc |
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This model is a 4 bit quantization of [DiscoResearch/Llama3_DiscoLeo_8B_DARE_Experimental](https://huggingface.co/DiscoResearch/Llama3_DiscoLeo_8B_DARE_Experimental) |
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created using [AutoAWQ](https://github.com/casper-hansen/AutoAWQ) with a custom bilingual calibration dataset and `quant_config = {"zero_point": True, "q_group_size": 128, "w_bit": 4, "version": "GEMM"}`. |
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Copy of the original model card: |
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[DiscoResearch/Llama3_German_8B_v0.1](https://huggingface.co/collections/DiscoResearch/discoleo-8b-llama3-for-german-6650527496c0fafefd4c9729) is a large language model based on [Meta's Llama3-8B](https://huggingface.co/meta-llama/Meta-Llama-3-8B). It is specialized for the German language through continuous pretraining on 65 billion high-quality tokens, similar to previous [LeoLM](https://huggingface.co/LeoLM) or [Occiglot](https://huggingface.co/collections/occiglot/occiglot-eu5-7b-v01-65dbed502a6348b052695e01) models. |
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This is a merge of our instruct model with the Instruct model by Meta. Created using [mergekit](https://github.com/cg123/mergekit). Contributed by [Damian B.](https://huggingface.co/damianb23)! |
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## Merge Details |
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### Merge Method |
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This model was merged using the [DARE](https://arxiv.org/abs/2311.03099) [TIES](https://arxiv.org/abs/2306.01708) merge method using [meta-llama/Meta-Llama-3-8B](https://huggingface.co/meta-llama/Meta-Llama-3-8B) as a base. |
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### Models Merged |
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The following models were included in the merge: |
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* [DiscoResearch/Llama3_DiscoLeo_Instruct_8B_v0.1](https://huggingface.co/DiscoResearch/Llama3_DiscoLeo_Instruct_8B_v0.1) |
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* [meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct) |
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### Configuration |
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The following YAML configuration was used to produce this model: |
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```yaml |
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models: |
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- model: DiscoResearch/Llama3_DiscoLeo_Instruct_8B_v0.1 |
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parameters: |
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density: 0.5 |
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weight: 0.5 |
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- model: meta-llama/Meta-Llama-3-8B-Instruct |
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parameters: |
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density: 0.5 |
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weight: 0.5 |
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merge_method: dare_ties |
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base_model: meta-llama/Meta-Llama-3-8B |
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parameters: |
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normalize: true |
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int8_mask: false |
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dtype: bfloat16 |
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``` |