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 

```