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README.md

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+Quantization made by Richard Erkhov.
+
+[Github](https://github.com/RichardErkhov)
+
+[Discord](https://discord.gg/pvy7H8DZMG)
+
+[Request more models](https://github.com/RichardErkhov/quant_request)
+
+
+Mistral-10.7B-v0.2 - GGUF
+- Model creator: https://huggingface.co/Joseph717171/
+- Original model: https://huggingface.co/Joseph717171/Mistral-10.7B-v0.2/
+
+
+| Name | Quant method | Size |
+| ---- | ---- | ---- |
+| [Mistral-10.7B-v0.2.Q2_K.gguf](https://huggingface.co/RichardErkhov/Joseph717171_-_Mistral-10.7B-v0.2-gguf/blob/main/Mistral-10.7B-v0.2.Q2_K.gguf) | Q2_K | 3.73GB |
+| [Mistral-10.7B-v0.2.IQ3_XS.gguf](https://huggingface.co/RichardErkhov/Joseph717171_-_Mistral-10.7B-v0.2-gguf/blob/main/Mistral-10.7B-v0.2.IQ3_XS.gguf) | IQ3_XS | 4.14GB |
+| [Mistral-10.7B-v0.2.IQ3_S.gguf](https://huggingface.co/RichardErkhov/Joseph717171_-_Mistral-10.7B-v0.2-gguf/blob/main/Mistral-10.7B-v0.2.IQ3_S.gguf) | IQ3_S | 4.37GB |
+| [Mistral-10.7B-v0.2.Q3_K_S.gguf](https://huggingface.co/RichardErkhov/Joseph717171_-_Mistral-10.7B-v0.2-gguf/blob/main/Mistral-10.7B-v0.2.Q3_K_S.gguf) | Q3_K_S | 4.34GB |
+| [Mistral-10.7B-v0.2.IQ3_M.gguf](https://huggingface.co/RichardErkhov/Joseph717171_-_Mistral-10.7B-v0.2-gguf/blob/main/Mistral-10.7B-v0.2.IQ3_M.gguf) | IQ3_M | 4.51GB |
+| [Mistral-10.7B-v0.2.Q3_K.gguf](https://huggingface.co/RichardErkhov/Joseph717171_-_Mistral-10.7B-v0.2-gguf/blob/main/Mistral-10.7B-v0.2.Q3_K.gguf) | Q3_K | 4.84GB |
+| [Mistral-10.7B-v0.2.Q3_K_M.gguf](https://huggingface.co/RichardErkhov/Joseph717171_-_Mistral-10.7B-v0.2-gguf/blob/main/Mistral-10.7B-v0.2.Q3_K_M.gguf) | Q3_K_M | 4.84GB |
+| [Mistral-10.7B-v0.2.Q3_K_L.gguf](https://huggingface.co/RichardErkhov/Joseph717171_-_Mistral-10.7B-v0.2-gguf/blob/main/Mistral-10.7B-v0.2.Q3_K_L.gguf) | Q3_K_L | 5.26GB |
+| [Mistral-10.7B-v0.2.IQ4_XS.gguf](https://huggingface.co/RichardErkhov/Joseph717171_-_Mistral-10.7B-v0.2-gguf/blob/main/Mistral-10.7B-v0.2.IQ4_XS.gguf) | IQ4_XS | 5.43GB |
+| [Mistral-10.7B-v0.2.Q4_0.gguf](https://huggingface.co/RichardErkhov/Joseph717171_-_Mistral-10.7B-v0.2-gguf/blob/main/Mistral-10.7B-v0.2.Q4_0.gguf) | Q4_0 | 5.66GB |
+| [Mistral-10.7B-v0.2.IQ4_NL.gguf](https://huggingface.co/RichardErkhov/Joseph717171_-_Mistral-10.7B-v0.2-gguf/blob/main/Mistral-10.7B-v0.2.IQ4_NL.gguf) | IQ4_NL | 5.72GB |
+| [Mistral-10.7B-v0.2.Q4_K_S.gguf](https://huggingface.co/RichardErkhov/Joseph717171_-_Mistral-10.7B-v0.2-gguf/blob/main/Mistral-10.7B-v0.2.Q4_K_S.gguf) | Q4_K_S | 5.7GB |
+| [Mistral-10.7B-v0.2.Q4_K.gguf](https://huggingface.co/RichardErkhov/Joseph717171_-_Mistral-10.7B-v0.2-gguf/blob/main/Mistral-10.7B-v0.2.Q4_K.gguf) | Q4_K | 6.02GB |
+| [Mistral-10.7B-v0.2.Q4_K_M.gguf](https://huggingface.co/RichardErkhov/Joseph717171_-_Mistral-10.7B-v0.2-gguf/blob/main/Mistral-10.7B-v0.2.Q4_K_M.gguf) | Q4_K_M | 6.02GB |
+| [Mistral-10.7B-v0.2.Q4_1.gguf](https://huggingface.co/RichardErkhov/Joseph717171_-_Mistral-10.7B-v0.2-gguf/blob/main/Mistral-10.7B-v0.2.Q4_1.gguf) | Q4_1 | 6.27GB |
+| [Mistral-10.7B-v0.2.Q5_0.gguf](https://huggingface.co/RichardErkhov/Joseph717171_-_Mistral-10.7B-v0.2-gguf/blob/main/Mistral-10.7B-v0.2.Q5_0.gguf) | Q5_0 | 6.89GB |
+| [Mistral-10.7B-v0.2.Q5_K_S.gguf](https://huggingface.co/RichardErkhov/Joseph717171_-_Mistral-10.7B-v0.2-gguf/blob/main/Mistral-10.7B-v0.2.Q5_K_S.gguf) | Q5_K_S | 6.89GB |
+| [Mistral-10.7B-v0.2.Q5_K.gguf](https://huggingface.co/RichardErkhov/Joseph717171_-_Mistral-10.7B-v0.2-gguf/blob/main/Mistral-10.7B-v0.2.Q5_K.gguf) | Q5_K | 7.08GB |
+| [Mistral-10.7B-v0.2.Q5_K_M.gguf](https://huggingface.co/RichardErkhov/Joseph717171_-_Mistral-10.7B-v0.2-gguf/blob/main/Mistral-10.7B-v0.2.Q5_K_M.gguf) | Q5_K_M | 7.08GB |
+| [Mistral-10.7B-v0.2.Q5_1.gguf](https://huggingface.co/RichardErkhov/Joseph717171_-_Mistral-10.7B-v0.2-gguf/blob/main/Mistral-10.7B-v0.2.Q5_1.gguf) | Q5_1 | 7.51GB |
+| [Mistral-10.7B-v0.2.Q6_K.gguf](https://huggingface.co/RichardErkhov/Joseph717171_-_Mistral-10.7B-v0.2-gguf/blob/main/Mistral-10.7B-v0.2.Q6_K.gguf) | Q6_K | 8.2GB |
+| [Mistral-10.7B-v0.2.Q8_0.gguf](https://huggingface.co/RichardErkhov/Joseph717171_-_Mistral-10.7B-v0.2-gguf/blob/main/Mistral-10.7B-v0.2.Q8_0.gguf) | Q8_0 | 10.62GB |
+
+
+
+
+Original model description:
+---
+base_model: []
+library_name: transformers
+tags:
+- mergekit
+- merge
+license: apache-2.0
+---
+# Credit for the model card's description goes to ddh0 and mergekit
+# Looking for [Mistral-10.7B-Instruct-v0.2?](https://huggingface.co/ddh0/Mistral-10.7B-Instruct-v0.2)
+# Credit for access and conversion of Mistral-7B-v0.2 goes to alpindale (from MistalAI's weights to HF Transformers)
+# Mistral-10.7B-v0.2
+This is Mistral-10.7B-v0.2, a depth-upscaled version of [alpindale/Mistral-7B-v0.2-hf](https://huggingface.co/alpindale/Mistral-7B-v0.2-hf).
+
+This model is intended to be used as a basis for further fine-tuning, or as a drop-in upgrade from the original 7 billion parameter model.
+
+Paper detailing how Depth-Up Scaling works:  [SOLAR 10.7B: Scaling Large Language Models with Simple yet Effective Depth Up-Scaling](https://arxiv.org/abs/2312.15166)
+
+This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
+
+## Merge Details
+### Merge Method
+
+This model was merged using the passthrough merge method.
+
+### Models Merged
+
+The following models were included in the merge:
+* /Users/jsarnecki/opt/Workspace/alpindale/Mistral-7B-v0.2-hf
+
+### Configuration
+
+The following YAML configuration was used to produce this model:
+
+```yaml
+dtype: bfloat16
+merge_method: passthrough
+slices:
+- sources:
+  - layer_range: [0, 24]
+    model: /Users/jsarnecki/opt/Workspace/alpindale/Mistral-7B-v0.2-hf
+- sources:
+  - layer_range: [8, 32]
+    model: /Users/jsarnecki/opt/Workspace/alpindale/Mistral-7B-v0.2-hf 
+
+```
+