Update README.md

README.md

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 ---
+language:
+- en
+pipeline_tag: text-generation
+tags:
+- text-generation-inference
+- instruct
+- conversational
+- roleplay
 license: cc-by-4.0
 ---
+
+<h1 style="text-align: center">Erosumika-7B-v3-0.2</h1>
+<h2 style="text-align: center">~Mistral 0.2 Edition~</h1>
+
+<div style="display: flex; justify-content: center;">
+    <img src="https://cdn-uploads.huggingface.co/production/uploads/6512681f4151fb1fa719e033/8YBKfcegQZliRlQNm0oir.gif" alt="Header GIF">
+</div>
+
+
+7.1bpw quant of Erosumika 7b 0.2 v3. Original Link : (https://huggingface.co/localfultonextractor/Erosumika-7B-v3-0.2)
+
+Best way to achieve 16k context withing 8GB of vram while achieving as much context as possible
+
+## Model Details
+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.
+
+[GGUF quants](https://huggingface.co/localfultonextractor/Erosumika-7B-v3-0.2-GGUF)
+
+
+## Limitations and biases
+The intended use-case for this model is fictional writing for entertainment purposes. Any other sort of usage is out of scope. 
+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.
+
+
+```yaml
+merge_method: task_arithmetic
+base_model: alpindale/Mistral-7B-v0.2-hf
+models:
+  - model: localfultonextractor/Erosumika-7B-v3
+    parameters:
+      weight: 1.0
+dtype: float16
+```