Edit model card
TensorBlock

Feedback and support: TensorBlock's Twitter/X, Telegram Group and Discord server

dicta-il/dictalm2.0-instruct - GGUF

This repo contains GGUF format model files for dicta-il/dictalm2.0-instruct.

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

Prompt template

<s>[INST] {prompt} [/INST]

Model file specification

Filename Quant type File Size Description
dictalm2.0-instruct-Q2_K.gguf Q2_K 2.538 GB smallest, significant quality loss - not recommended for most purposes
dictalm2.0-instruct-Q3_K_S.gguf Q3_K_S 2.953 GB very small, high quality loss
dictalm2.0-instruct-Q3_K_M.gguf Q3_K_M 3.283 GB very small, high quality loss
dictalm2.0-instruct-Q3_K_L.gguf Q3_K_L 3.565 GB small, substantial quality loss
dictalm2.0-instruct-Q4_0.gguf Q4_0 3.833 GB legacy; small, very high quality loss - prefer using Q3_K_M
dictalm2.0-instruct-Q4_K_S.gguf Q4_K_S 3.862 GB small, greater quality loss
dictalm2.0-instruct-Q4_K_M.gguf Q4_K_M 4.075 GB medium, balanced quality - recommended
dictalm2.0-instruct-Q5_0.gguf Q5_0 4.661 GB legacy; medium, balanced quality - prefer using Q4_K_M
dictalm2.0-instruct-Q5_K_S.gguf Q5_K_S 4.661 GB large, low quality loss - recommended
dictalm2.0-instruct-Q5_K_M.gguf Q5_K_M 4.786 GB large, very low quality loss - recommended
dictalm2.0-instruct-Q6_K.gguf Q6_K 5.541 GB very large, extremely low quality loss
dictalm2.0-instruct-Q8_0.gguf Q8_0 7.177 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/dictalm2.0-instruct-GGUF --include "dictalm2.0-instruct-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/dictalm2.0-instruct-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'
Downloads last month
303
GGUF
Model size
7.25B params
Architecture
llama

2-bit

3-bit

4-bit

5-bit

6-bit

8-bit

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

Model tree for tensorblock/dictalm2.0-instruct-GGUF

Quantized
(5)
this model