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GGUF
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GGUF
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frankenmerger/MiniLlama-1.8b-Chat-v0.1 - GGUF

This repo contains GGUF format model files for frankenmerger/MiniLlama-1.8b-Chat-v0.1.

The files were quantized using machines provided by TensorBlock, and they are compatible with llama.cpp as of commit b4242.

Prompt template

<|system|>
{system_prompt}</s>
<|user|>
{prompt}</s>
<|assistant|>

Model file specification

Filename Quant type File Size Description
MiniLlama-1.8b-Chat-v0.1-Q2_K.gguf Q2_K 0.724 GB smallest, significant quality loss - not recommended for most purposes
MiniLlama-1.8b-Chat-v0.1-Q3_K_S.gguf Q3_K_S 0.840 GB very small, high quality loss
MiniLlama-1.8b-Chat-v0.1-Q3_K_M.gguf Q3_K_M 0.930 GB very small, high quality loss
MiniLlama-1.8b-Chat-v0.1-Q3_K_L.gguf Q3_K_L 1.008 GB small, substantial quality loss
MiniLlama-1.8b-Chat-v0.1-Q4_0.gguf Q4_0 1.083 GB legacy; small, very high quality loss - prefer using Q3_K_M
MiniLlama-1.8b-Chat-v0.1-Q4_K_S.gguf Q4_K_S 1.090 GB small, greater quality loss
MiniLlama-1.8b-Chat-v0.1-Q4_K_M.gguf Q4_K_M 1.145 GB medium, balanced quality - recommended
MiniLlama-1.8b-Chat-v0.1-Q5_0.gguf Q5_0 1.311 GB legacy; medium, balanced quality - prefer using Q4_K_M
MiniLlama-1.8b-Chat-v0.1-Q5_K_S.gguf Q5_K_S 1.311 GB large, low quality loss - recommended
MiniLlama-1.8b-Chat-v0.1-Q5_K_M.gguf Q5_K_M 1.343 GB large, very low quality loss - recommended
MiniLlama-1.8b-Chat-v0.1-Q6_K.gguf Q6_K 1.554 GB very large, extremely low quality loss
MiniLlama-1.8b-Chat-v0.1-Q8_0.gguf Q8_0 2.012 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/MiniLlama-1.8b-Chat-v0.1-GGUF --include "MiniLlama-1.8b-Chat-v0.1-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/MiniLlama-1.8b-Chat-v0.1-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'
Downloads last month
145
GGUF
Model size
1.89B params
Architecture
llama

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

Model tree for tensorblock/MiniLlama-1.8b-Chat-v0.1-GGUF

Datasets used to train tensorblock/MiniLlama-1.8b-Chat-v0.1-GGUF