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--- |
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base_model: jeiku/Average_Normie_v2_l3_8B |
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inference: false |
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library_name: transformers |
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merged_models: |
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- ChaoticNeutrals/Poppy_Porpoise-v0.7-L3-8B |
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- vicgalle/Roleplay-Llama-3-8B |
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- cgato/L3-TheSpice-8b-v0.1.3 |
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- ResplendentAI/Kei_Llama3_8B |
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pipeline_tag: text-generation |
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quantized_by: Suparious |
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tags: |
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- mergekit |
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- merge |
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- 4-bit |
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- AWQ |
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- text-generation |
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- autotrain_compatible |
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- endpoints_compatible |
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--- |
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# jeiku/Average_Normie_v2_l3_8B AWQ |
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- Model creator: [jeiku](https://huggingface.co./jeiku) |
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- Original model: [Average_Normie_v2_l3_8B](https://huggingface.co./jeiku/Average_Normie_v2_l3_8B) |
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## Model Summary |
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This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit). |
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This model was merged using the [Model Stock](https://arxiv.org/abs/2403.19522) merge method using [ResplendentAI/Kei_Llama3_8B](https://huggingface.co./ResplendentAI/Kei_Llama3_8B) as a base. |
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The following models were included in the merge: |
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* [ChaoticNeutrals/Poppy_Porpoise-v0.7-L3-8B](https://huggingface.co./ChaoticNeutrals/Poppy_Porpoise-v0.7-L3-8B) |
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* [vicgalle/Roleplay-Llama-3-8B](https://huggingface.co./vicgalle/Roleplay-Llama-3-8B) |
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* [cgato/L3-TheSpice-8b-v0.1.3](https://huggingface.co./cgato/L3-TheSpice-8b-v0.1.3) |
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### About AWQ |
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AWQ is an efficient, accurate and blazing-fast low-bit weight quantization method, currently supporting 4-bit quantization. Compared to GPTQ, it offers faster Transformers-based inference with equivalent or better quality compared to the most commonly used GPTQ settings. |
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AWQ models are currently supported on Linux and Windows, with NVidia GPUs only. macOS users: please use GGUF models instead. |
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It is supported by: |
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- [Text Generation Webui](https://github.com/oobabooga/text-generation-webui) - using Loader: AutoAWQ |
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- [vLLM](https://github.com/vllm-project/vllm) - version 0.2.2 or later for support for all model types. |
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- [Hugging Face Text Generation Inference (TGI)](https://github.com/huggingface/text-generation-inference) |
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- [Transformers](https://huggingface.co./docs/transformers) version 4.35.0 and later, from any code or client that supports Transformers |
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- [AutoAWQ](https://github.com/casper-hansen/AutoAWQ) - for use from Python code |
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