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README.md
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---
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base_model: Aryanne/Astrea-RP-v1-3B
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inference: false
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language:
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- en
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library_name: transformers
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license: other
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model_creator: Aryanne
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model_name: Astrea-RP-v1-3B
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pipeline_tag: text-generation
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quantized_by: afrideva
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tags:
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- gpt
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- llm
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- large language model
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- gguf
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- ggml
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- quantized
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- q2_k
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- q3_k_m
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- q4_k_m
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- q5_k_m
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- q6_k
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- q8_0
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---
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# Aryanne/Astrea-RP-v1-3B-GGUF
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Quantized GGUF model files for [Astrea-RP-v1-3B](https://huggingface.co/Aryanne/Astrea-RP-v1-3B) from [Aryanne](https://huggingface.co/Aryanne)
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| Name | Quant method | Size |
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| ---- | ---- | ---- |
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| [astrea-rp-v1-3b.fp16.gguf](https://huggingface.co/afrideva/Astrea-RP-v1-3B-GGUF/resolve/main/astrea-rp-v1-3b.fp16.gguf) | fp16 | 5.59 GB |
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| [astrea-rp-v1-3b.q2_k.gguf](https://huggingface.co/afrideva/Astrea-RP-v1-3B-GGUF/resolve/main/astrea-rp-v1-3b.q2_k.gguf) | q2_k | 1.20 GB |
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| [astrea-rp-v1-3b.q3_k_m.gguf](https://huggingface.co/afrideva/Astrea-RP-v1-3B-GGUF/resolve/main/astrea-rp-v1-3b.q3_k_m.gguf) | q3_k_m | 1.39 GB |
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| [astrea-rp-v1-3b.q4_k_m.gguf](https://huggingface.co/afrideva/Astrea-RP-v1-3B-GGUF/resolve/main/astrea-rp-v1-3b.q4_k_m.gguf) | q4_k_m | 1.71 GB |
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| [astrea-rp-v1-3b.q5_k_m.gguf](https://huggingface.co/afrideva/Astrea-RP-v1-3B-GGUF/resolve/main/astrea-rp-v1-3b.q5_k_m.gguf) | q5_k_m | 1.99 GB |
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| [astrea-rp-v1-3b.q6_k.gguf](https://huggingface.co/afrideva/Astrea-RP-v1-3B-GGUF/resolve/main/astrea-rp-v1-3b.q6_k.gguf) | q6_k | 2.30 GB |
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| [astrea-rp-v1-3b.q8_0.gguf](https://huggingface.co/afrideva/Astrea-RP-v1-3B-GGUF/resolve/main/astrea-rp-v1-3b.q8_0.gguf) | q8_0 | 2.97 GB |
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## Original Model Card:
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This model is a merge of [euclaise/Echo-3B](https://huggingface.co/euclaise/Echo-3B), [stabilityai/stablelm-zephyr-3b](https://huggingface.co/stabilityai/stablelm-zephyr-3b) and [Aryanne/Astridboros-3B](https://huggingface.co/Aryanne/Astridboros-3B) using task_arithmetic(see astrea-rp-v1-3b.yml or below).
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```yaml
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merge_method: task_arithmetic
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base_model: euclaise/Ferret-3B
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models:
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- model: euclaise/Ferret-3B
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- model: stabilityai/stablelm-zephyr-3b
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parameters:
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weight: 0.33
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- model: euclaise/Echo-3B
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parameters:
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weight: 0.66
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- model: Aryanne/Astridboros-3B
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parameters:
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weight: 0.16
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dtype: float16
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```
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I recommend the use of Vicuna prompt format, but it's your choice to see what works for you.
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I think zephyr license applies to this merge, for non commercial use.
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