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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TARS-8B - GGUF
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- Model creator: https://huggingface.co/picAIso/
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- Original model: https://huggingface.co/picAIso/TARS-8B/
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| Name | Quant method | Size |
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| ---- | ---- | ---- |
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| [TARS-8B.Q2_K.gguf](https://huggingface.co/RichardErkhov/picAIso_-_TARS-8B-gguf/blob/main/TARS-8B.Q2_K.gguf) | Q2_K | 2.96GB |
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| [TARS-8B.IQ3_XS.gguf](https://huggingface.co/RichardErkhov/picAIso_-_TARS-8B-gguf/blob/main/TARS-8B.IQ3_XS.gguf) | IQ3_XS | 3.28GB |
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| [TARS-8B.IQ3_S.gguf](https://huggingface.co/RichardErkhov/picAIso_-_TARS-8B-gguf/blob/main/TARS-8B.IQ3_S.gguf) | IQ3_S | 3.43GB |
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| [TARS-8B.Q3_K_S.gguf](https://huggingface.co/RichardErkhov/picAIso_-_TARS-8B-gguf/blob/main/TARS-8B.Q3_K_S.gguf) | Q3_K_S | 3.41GB |
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| [TARS-8B.IQ3_M.gguf](https://huggingface.co/RichardErkhov/picAIso_-_TARS-8B-gguf/blob/main/TARS-8B.IQ3_M.gguf) | IQ3_M | 3.52GB |
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| [TARS-8B.Q3_K.gguf](https://huggingface.co/RichardErkhov/picAIso_-_TARS-8B-gguf/blob/main/TARS-8B.Q3_K.gguf) | Q3_K | 3.74GB |
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| [TARS-8B.Q3_K_M.gguf](https://huggingface.co/RichardErkhov/picAIso_-_TARS-8B-gguf/blob/main/TARS-8B.Q3_K_M.gguf) | Q3_K_M | 3.74GB |
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| [TARS-8B.Q3_K_L.gguf](https://huggingface.co/RichardErkhov/picAIso_-_TARS-8B-gguf/blob/main/TARS-8B.Q3_K_L.gguf) | Q3_K_L | 4.03GB |
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| [TARS-8B.IQ4_XS.gguf](https://huggingface.co/RichardErkhov/picAIso_-_TARS-8B-gguf/blob/main/TARS-8B.IQ4_XS.gguf) | IQ4_XS | 4.18GB |
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| [TARS-8B.Q4_0.gguf](https://huggingface.co/RichardErkhov/picAIso_-_TARS-8B-gguf/blob/main/TARS-8B.Q4_0.gguf) | Q4_0 | 4.34GB |
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| [TARS-8B.IQ4_NL.gguf](https://huggingface.co/RichardErkhov/picAIso_-_TARS-8B-gguf/blob/main/TARS-8B.IQ4_NL.gguf) | IQ4_NL | 4.38GB |
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| [TARS-8B.Q4_K_S.gguf](https://huggingface.co/RichardErkhov/picAIso_-_TARS-8B-gguf/blob/main/TARS-8B.Q4_K_S.gguf) | Q4_K_S | 4.37GB |
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| [TARS-8B.Q4_K.gguf](https://huggingface.co/RichardErkhov/picAIso_-_TARS-8B-gguf/blob/main/TARS-8B.Q4_K.gguf) | Q4_K | 4.58GB |
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| [TARS-8B.Q4_K_M.gguf](https://huggingface.co/RichardErkhov/picAIso_-_TARS-8B-gguf/blob/main/TARS-8B.Q4_K_M.gguf) | Q4_K_M | 4.58GB |
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| [TARS-8B.Q4_1.gguf](https://huggingface.co/RichardErkhov/picAIso_-_TARS-8B-gguf/blob/main/TARS-8B.Q4_1.gguf) | Q4_1 | 4.78GB |
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| [TARS-8B.Q5_0.gguf](https://huggingface.co/RichardErkhov/picAIso_-_TARS-8B-gguf/blob/main/TARS-8B.Q5_0.gguf) | Q5_0 | 5.21GB |
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| [TARS-8B.Q5_K_S.gguf](https://huggingface.co/RichardErkhov/picAIso_-_TARS-8B-gguf/blob/main/TARS-8B.Q5_K_S.gguf) | Q5_K_S | 5.21GB |
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| [TARS-8B.Q5_K.gguf](https://huggingface.co/RichardErkhov/picAIso_-_TARS-8B-gguf/blob/main/TARS-8B.Q5_K.gguf) | Q5_K | 5.34GB |
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| [TARS-8B.Q5_K_M.gguf](https://huggingface.co/RichardErkhov/picAIso_-_TARS-8B-gguf/blob/main/TARS-8B.Q5_K_M.gguf) | Q5_K_M | 5.34GB |
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| [TARS-8B.Q5_1.gguf](https://huggingface.co/RichardErkhov/picAIso_-_TARS-8B-gguf/blob/main/TARS-8B.Q5_1.gguf) | Q5_1 | 5.65GB |
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| [TARS-8B.Q6_K.gguf](https://huggingface.co/RichardErkhov/picAIso_-_TARS-8B-gguf/blob/main/TARS-8B.Q6_K.gguf) | Q6_K | 6.14GB |
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| [TARS-8B.Q8_0.gguf](https://huggingface.co/RichardErkhov/picAIso_-_TARS-8B-gguf/blob/main/TARS-8B.Q8_0.gguf) | Q8_0 | 7.95GB |
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Original model description:
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---
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base_model:
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- NousResearch/Hermes-2-Pro-Llama-3-8B
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- nbeerbower/llama-3-gutenberg-8B
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- MaziyarPanahi/Llama-3-8B-Instruct-v0.9
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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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- merging
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- llama3
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- merged
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license: llama3
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language:
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- en
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---
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# merge
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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 [TIES](https://arxiv.org/abs/2306.01708) merge method using [MaziyarPanahi/Llama-3-8B-Instruct-v0.9](https://huggingface.co/MaziyarPanahi/Llama-3-8B-Instruct-v0.9) 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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* [NousResearch/Hermes-2-Pro-Llama-3-8B](https://huggingface.co/NousResearch/Hermes-2-Pro-Llama-3-8B)
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* [nbeerbower/llama-3-gutenberg-8B](https://huggingface.co/nbeerbower/llama-3-gutenberg-8B)
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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: MaziyarPanahi/Llama-3-8B-Instruct-v0.9
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#no parameters necessary for base model
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- model: NousResearch/Hermes-2-Pro-Llama-3-8B
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parameters:
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density: 0.5
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weight: 0.8
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- model: nbeerbower/llama-3-gutenberg-8B
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parameters:
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density: 0.5
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weight: 0.8
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merge_method: ties
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base_model: MaziyarPanahi/Llama-3-8B-Instruct-v0.9
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parameters:
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normalize: false
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int8_mask: true
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dtype: float16
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```
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