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DopeorNope/Mistralopithecus-v0.1-10.8B - GGUF

This repo contains GGUF format model files for DopeorNope/Mistralopithecus-v0.1-10.8B.

The files were quantized using machines provided by TensorBlock, and they are compatible with llama.cpp as of commit b4011.

Prompt template


Model file specification

Filename Quant type File Size Description
Mistralopithecus-v0.1-10.8B-Q2_K.gguf Q2_K 3.790 GB smallest, significant quality loss - not recommended for most purposes
Mistralopithecus-v0.1-10.8B-Q3_K_S.gguf Q3_K_S 4.412 GB very small, high quality loss
Mistralopithecus-v0.1-10.8B-Q3_K_M.gguf Q3_K_M 4.906 GB very small, high quality loss
Mistralopithecus-v0.1-10.8B-Q3_K_L.gguf Q3_K_L 5.330 GB small, substantial quality loss
Mistralopithecus-v0.1-10.8B-Q4_0.gguf Q4_0 5.730 GB legacy; small, very high quality loss - prefer using Q3_K_M
Mistralopithecus-v0.1-10.8B-Q4_K_S.gguf Q4_K_S 5.773 GB small, greater quality loss
Mistralopithecus-v0.1-10.8B-Q4_K_M.gguf Q4_K_M 6.093 GB medium, balanced quality - recommended
Mistralopithecus-v0.1-10.8B-Q5_0.gguf Q5_0 6.971 GB legacy; medium, balanced quality - prefer using Q4_K_M
Mistralopithecus-v0.1-10.8B-Q5_K_S.gguf Q5_K_S 6.971 GB large, low quality loss - recommended
Mistralopithecus-v0.1-10.8B-Q5_K_M.gguf Q5_K_M 7.158 GB large, very low quality loss - recommended
Mistralopithecus-v0.1-10.8B-Q6_K.gguf Q6_K 8.289 GB very large, extremely low quality loss
Mistralopithecus-v0.1-10.8B-Q8_0.gguf Q8_0 10.736 GB very large, extremely low quality loss - not recommended

Downloading instruction

Command line

Firstly, install Huggingface Client

pip install -U "huggingface_hub[cli]"

Then, downoad the individual model file the a local directory

huggingface-cli download tensorblock/Mistralopithecus-v0.1-10.8B-GGUF --include "Mistralopithecus-v0.1-10.8B-Q2_K.gguf" --local-dir MY_LOCAL_DIR

If you wanna download multiple model files with a pattern (e.g., *Q4_K*gguf), you can try:

huggingface-cli download tensorblock/Mistralopithecus-v0.1-10.8B-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'
Downloads last month
13
GGUF
Model size
10.8B params
Architecture
llama

2-bit

3-bit

4-bit

5-bit

6-bit

8-bit

Inference API
Unable to determine this model's library. Check the docs .

Model tree for tensorblock/Mistralopithecus-v0.1-10.8B-GGUF

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