RichardErkhov
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README.md
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Quantization made by Richard Erkhov.
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[Github](https://github.com/RichardErkhov)
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[Discord](https://discord.gg/pvy7H8DZMG)
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[Request more models](https://github.com/RichardErkhov/quant_request)
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flammen18-mistral-7B - GGUF
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- Model creator: https://huggingface.co/flammenai/
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- Original model: https://huggingface.co/flammenai/flammen18-mistral-7B/
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| Name | Quant method | Size |
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| ---- | ---- | ---- |
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| [flammen18-mistral-7B.Q2_K.gguf](https://huggingface.co/RichardErkhov/flammenai_-_flammen18-mistral-7B-gguf/blob/main/flammen18-mistral-7B.Q2_K.gguf) | Q2_K | 2.53GB |
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| [flammen18-mistral-7B.IQ3_XS.gguf](https://huggingface.co/RichardErkhov/flammenai_-_flammen18-mistral-7B-gguf/blob/main/flammen18-mistral-7B.IQ3_XS.gguf) | IQ3_XS | 2.81GB |
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| [flammen18-mistral-7B.IQ3_S.gguf](https://huggingface.co/RichardErkhov/flammenai_-_flammen18-mistral-7B-gguf/blob/main/flammen18-mistral-7B.IQ3_S.gguf) | IQ3_S | 2.96GB |
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| [flammen18-mistral-7B.Q3_K_S.gguf](https://huggingface.co/RichardErkhov/flammenai_-_flammen18-mistral-7B-gguf/blob/main/flammen18-mistral-7B.Q3_K_S.gguf) | Q3_K_S | 2.95GB |
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| [flammen18-mistral-7B.IQ3_M.gguf](https://huggingface.co/RichardErkhov/flammenai_-_flammen18-mistral-7B-gguf/blob/main/flammen18-mistral-7B.IQ3_M.gguf) | IQ3_M | 3.06GB |
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| [flammen18-mistral-7B.Q3_K.gguf](https://huggingface.co/RichardErkhov/flammenai_-_flammen18-mistral-7B-gguf/blob/main/flammen18-mistral-7B.Q3_K.gguf) | Q3_K | 3.28GB |
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| [flammen18-mistral-7B.Q3_K_M.gguf](https://huggingface.co/RichardErkhov/flammenai_-_flammen18-mistral-7B-gguf/blob/main/flammen18-mistral-7B.Q3_K_M.gguf) | Q3_K_M | 3.28GB |
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| [flammen18-mistral-7B.Q3_K_L.gguf](https://huggingface.co/RichardErkhov/flammenai_-_flammen18-mistral-7B-gguf/blob/main/flammen18-mistral-7B.Q3_K_L.gguf) | Q3_K_L | 3.56GB |
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| [flammen18-mistral-7B.IQ4_XS.gguf](https://huggingface.co/RichardErkhov/flammenai_-_flammen18-mistral-7B-gguf/blob/main/flammen18-mistral-7B.IQ4_XS.gguf) | IQ4_XS | 3.67GB |
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| [flammen18-mistral-7B.Q4_0.gguf](https://huggingface.co/RichardErkhov/flammenai_-_flammen18-mistral-7B-gguf/blob/main/flammen18-mistral-7B.Q4_0.gguf) | Q4_0 | 3.83GB |
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| [flammen18-mistral-7B.IQ4_NL.gguf](https://huggingface.co/RichardErkhov/flammenai_-_flammen18-mistral-7B-gguf/blob/main/flammen18-mistral-7B.IQ4_NL.gguf) | IQ4_NL | 3.87GB |
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| [flammen18-mistral-7B.Q4_K_S.gguf](https://huggingface.co/RichardErkhov/flammenai_-_flammen18-mistral-7B-gguf/blob/main/flammen18-mistral-7B.Q4_K_S.gguf) | Q4_K_S | 3.86GB |
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| [flammen18-mistral-7B.Q4_K.gguf](https://huggingface.co/RichardErkhov/flammenai_-_flammen18-mistral-7B-gguf/blob/main/flammen18-mistral-7B.Q4_K.gguf) | Q4_K | 4.07GB |
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| [flammen18-mistral-7B.Q4_K_M.gguf](https://huggingface.co/RichardErkhov/flammenai_-_flammen18-mistral-7B-gguf/blob/main/flammen18-mistral-7B.Q4_K_M.gguf) | Q4_K_M | 4.07GB |
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| [flammen18-mistral-7B.Q4_1.gguf](https://huggingface.co/RichardErkhov/flammenai_-_flammen18-mistral-7B-gguf/blob/main/flammen18-mistral-7B.Q4_1.gguf) | Q4_1 | 4.24GB |
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| [flammen18-mistral-7B.Q5_0.gguf](https://huggingface.co/RichardErkhov/flammenai_-_flammen18-mistral-7B-gguf/blob/main/flammen18-mistral-7B.Q5_0.gguf) | Q5_0 | 4.65GB |
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| [flammen18-mistral-7B.Q5_K_S.gguf](https://huggingface.co/RichardErkhov/flammenai_-_flammen18-mistral-7B-gguf/blob/main/flammen18-mistral-7B.Q5_K_S.gguf) | Q5_K_S | 4.65GB |
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| [flammen18-mistral-7B.Q5_K.gguf](https://huggingface.co/RichardErkhov/flammenai_-_flammen18-mistral-7B-gguf/blob/main/flammen18-mistral-7B.Q5_K.gguf) | Q5_K | 4.78GB |
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| [flammen18-mistral-7B.Q5_K_M.gguf](https://huggingface.co/RichardErkhov/flammenai_-_flammen18-mistral-7B-gguf/blob/main/flammen18-mistral-7B.Q5_K_M.gguf) | Q5_K_M | 4.78GB |
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| [flammen18-mistral-7B.Q5_1.gguf](https://huggingface.co/RichardErkhov/flammenai_-_flammen18-mistral-7B-gguf/blob/main/flammen18-mistral-7B.Q5_1.gguf) | Q5_1 | 5.07GB |
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| [flammen18-mistral-7B.Q6_K.gguf](https://huggingface.co/RichardErkhov/flammenai_-_flammen18-mistral-7B-gguf/blob/main/flammen18-mistral-7B.Q6_K.gguf) | Q6_K | 5.53GB |
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| [flammen18-mistral-7B.Q8_0.gguf](https://huggingface.co/RichardErkhov/flammenai_-_flammen18-mistral-7B-gguf/blob/main/flammen18-mistral-7B.Q8_0.gguf) | Q8_0 | 7.17GB |
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Original model description:
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---
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license: apache-2.0
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base_model:
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- nbeerbower/flammen11-mistral-7B
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- nbeerbower/flammen15-gutenberg-DPO-v1-7B
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- nbeerbower/Flammen-Kunoichi-7B
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- nbeerbower/flammen11X-mistral-7B
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- nbeerbower/Maidphin-Kunoichi-7B
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- nbeerbower/Suppe-v1-7B
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- nbeerbower/flammen10-mistral-7B
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- nbeerbower/bruphin-lambda
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- nbeerbower/flammen13-mistral-7B
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- nbeerbower/bophades-mistral-truthy-DPO-7B
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- nbeerbower/flammen17-mistral-7B
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- nbeerbower/bophades-mistral-math-DPO-7B
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library_name: transformers
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tags:
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- mergekit
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- merge
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---
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![image/png](https://huggingface.co/nbeerbower/flammen13X-mistral-7B/resolve/main/flammen13x.png)
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# flammen18-mistral-7B
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A Mistral 7B LLM built from merging pretrained models and finetuning. Flammen specializes in exceptional character roleplay, creative writing, and general intelligence
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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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## Merge Details
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### Merge Method
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This model was merged using the [Model Stock](https://arxiv.org/abs/2403.19522) merge method using [nbeerbower/flammen17-mistral-7B](https://huggingface.co/nbeerbower/flammen17-mistral-7B) 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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* [nbeerbower/flammen11-mistral-7B](https://huggingface.co/nbeerbower/flammen11-mistral-7B)
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* [nbeerbower/flammen15-gutenberg-DPO-v1-7B](https://huggingface.co/nbeerbower/flammen15-gutenberg-DPO-v1-7B)
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* [nbeerbower/Flammen-Kunoichi-7B](https://huggingface.co/nbeerbower/Flammen-Kunoichi-7B)
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* [nbeerbower/flammen11X-mistral-7B](https://huggingface.co/nbeerbower/flammen11X-mistral-7B)
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* [nbeerbower/Maidphin-Kunoichi-7B](https://huggingface.co/nbeerbower/Maidphin-Kunoichi-7B)
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* [nbeerbower/Suppe-v1-7B](https://huggingface.co/nbeerbower/Suppe-v1-7B)
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* [nbeerbower/flammen10-mistral-7B](https://huggingface.co/nbeerbower/flammen10-mistral-7B)
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* [nbeerbower/bruphin-lambda](https://huggingface.co/nbeerbower/bruphin-lambda)
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* [nbeerbower/flammen13-mistral-7B](https://huggingface.co/nbeerbower/flammen13-mistral-7B)
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* [nbeerbower/bophades-mistral-truthy-DPO-7B](https://huggingface.co/nbeerbower/bophades-mistral-truthy-DPO-7B)
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* [nbeerbower/bophades-mistral-math-DPO-7B](https://huggingface.co/nbeerbower/bophades-mistral-math-DPO-7B)
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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: nbeerbower/bophades-mistral-truthy-DPO-7B
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- model: nbeerbower/flammen11-mistral-7B
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- model: nbeerbower/Suppe-v1-7B
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- model: nbeerbower/bophades-mistral-math-DPO-7B
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- model: nbeerbower/flammen10-mistral-7B
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- model: nbeerbower/flammen15-gutenberg-DPO-v1-7B
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- model: nbeerbower/bruphin-lambda
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- model: nbeerbower/Maidphin-Kunoichi-7B
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- model: nbeerbower/flammen11X-mistral-7B
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- model: nbeerbower/flammen13-mistral-7B
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- model: nbeerbower/Flammen-Kunoichi-7B
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merge_method: model_stock
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base_model: nbeerbower/flammen17-mistral-7B
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dtype: bfloat16
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```
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