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---
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---
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language:
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- en
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pipeline_tag: text-generation
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tags:
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- text-generation-inference
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- instruct
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- conversational
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- roleplay
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license: cc-by-4.0
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<h1 style="text-align: center">Erosumika-7B-v3-0.2</h1>
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<h2 style="text-align: center">~Mistral 0.2 Edition~</h1>
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<div style="display: flex; justify-content: center;">
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<img src="https://cdn-uploads.huggingface.co/production/uploads/6512681f4151fb1fa719e033/8YBKfcegQZliRlQNm0oir.gif" alt="Header GIF">
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</div>
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8.0bpw quant of Erosumika 7b 0.2 v3. Original Link : (https://huggingface.co/localfultonextractor/Erosumika-7B-v3-0.2)
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For vram having people (12GB+)
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## Model Details
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The Mistral 0.2 version of Erosumika-7B-v3, a DARE TIES merge between Nitral's [Kunocchini-7b](https://huggingface.co/Nitral-AI/Kunocchini-7b), Endevor's [InfinityRP-v1-7B](https://huggingface.co/Endevor/InfinityRP-v1-7B) and my [FlatErosAlpha](https://huggingface.co/localfultonextractor/FlatErosAlpha), a flattened(in order to keep the vocab size 32000) version of tavtav's [eros-7B-ALPHA](https://huggingface.co/tavtav/eros-7B-ALPHA). Alpaca and ChatML work best. Slightly smarter and better prompt comprehension than Mistral 0.1 Erosumika-7B-v3. 32k context should work.
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[GGUF quants](https://huggingface.co/localfultonextractor/Erosumika-7B-v3-0.2-GGUF)
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## Limitations and biases
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The intended use-case for this model is fictional writing for entertainment purposes. Any other sort of usage is out of scope.
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It may produce socially unacceptable or undesirable text, even if the prompt itself does not include anything explicitly offensive. Outputs might often be factually wrong or misleading.
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```yaml
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merge_method: task_arithmetic
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base_model: alpindale/Mistral-7B-v0.2-hf
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models:
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- model: localfultonextractor/Erosumika-7B-v3
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parameters:
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weight: 1.0
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dtype: float16
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```
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