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README.md

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----
-license: other
-license_name: mrl
-license_link: https://mistral.ai/licenses/MRL-0.1.md
----
+---
+license: other
+license_name: mrl
+license_link: https://mistral.ai/licenses/MRL-0.1.md
+tags:
+- not-for-all-audiences
+- nsfw
+language:
+- ja
+---
+
+# Kudryavka 8B Alpha
+
+<img src="https://cdn-uploads.huggingface.co/production/uploads/6513cf1397fb08378dea8f3a/0R3JH9xBNcuYpn8Apy6Uo.jpeg" alt="drawing" style="width:512px;"/>
+
+
+
+## Base Model
+This model is built upon [Ministral-8B-Instruct-2410](https://huggingface.co/mistralai/Ministral-8B-Instruct-2410)
+
+### NOTICE
+
+Licensed by Mistral AI under the Mistral AI Research License.
+By using this model, you agree to be bound by the terms of the Mistral AI Research License.
+
+## Description
+
+First and foremost, this model is under development and currently falls far short of the Berghof series.
+
+I chose the 8B model simply because in my environment, it's difficult to load models larger than 9B (without quantization), and I wanted to select the largest size that I could handle.
+
+Gemma2 9B was also an option, but I decided to pass on it after testing.
+
+This model has the following characteristics:
+
+- It can write relatively consistent continuations if given a sufficiently long prompt (1000~ tokens) beforehand;
+- It tends to be roundabout and verbose, sometimes providing excessive explanations in the narrative text, often resulting in a slower-paced development
+- It occasionally generates NSFW content in unexpected ways
+- Its output undoubtedly tends to be repetitive, especially when the initial prompt is sparse
+- If often fails to insert linebreaks between dialogues and monologues. This is expected to be fixed in later release of the series(hopefully)
+
+As a rule of thumb, I think it's suitable for situations where you have a relatively complete piece of writing and want help continuing it, or when writing collaboratively while manually correcting inconsistencies here and there.
+And for those who don't know, repetitiveness can be greatly reduced by using the DRY multiplier.
+
+## Intended Use
+Primarily designed for novel generation. **Not** optimized for:
+- Role-playing (RP) scenarios
+- Instruction-based responses