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01-ai/Yi-1.5-34B-Chat-16K - GGUF

This repo contains GGUF format model files for 01-ai/Yi-1.5-34B-Chat-16K.

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

Prompt template

{system_prompt}<|im_start|>user
{prompt}<|im_end|>
<|im_start|>assistant

Model file specification

Filename Quant type File Size Description
Yi-1.5-34B-Chat-16K-Q2_K.gguf Q2_K 11.944 GB smallest, significant quality loss - not recommended for most purposes
Yi-1.5-34B-Chat-16K-Q3_K_S.gguf Q3_K_S 13.933 GB very small, high quality loss
Yi-1.5-34B-Chat-16K-Q3_K_M.gguf Q3_K_M 15.511 GB very small, high quality loss
Yi-1.5-34B-Chat-16K-Q3_K_L.gguf Q3_K_L 16.894 GB small, substantial quality loss
Yi-1.5-34B-Chat-16K-Q4_0.gguf Q4_0 18.130 GB legacy; small, very high quality loss - prefer using Q3_K_M
Yi-1.5-34B-Chat-16K-Q4_K_S.gguf Q4_K_S 18.253 GB small, greater quality loss
Yi-1.5-34B-Chat-16K-Q4_K_M.gguf Q4_K_M 19.240 GB medium, balanced quality - recommended
Yi-1.5-34B-Chat-16K-Q5_0.gguf Q5_0 22.080 GB legacy; medium, balanced quality - prefer using Q4_K_M
Yi-1.5-34B-Chat-16K-Q5_K_S.gguf Q5_K_S 22.080 GB large, low quality loss - recommended
Yi-1.5-34B-Chat-16K-Q5_K_M.gguf Q5_K_M 22.651 GB large, very low quality loss - recommended
Yi-1.5-34B-Chat-16K-Q6_K.gguf Q6_K 26.276 GB very large, extremely low quality loss
Yi-1.5-34B-Chat-16K-Q8_0.gguf Q8_0 34.033 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/Yi-1.5-34B-Chat-16K-GGUF --include "Yi-1.5-34B-Chat-16K-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/Yi-1.5-34B-Chat-16K-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'
Downloads last month
26
GGUF
Model size
34.4B params
Architecture
llama

2-bit

3-bit

4-bit

5-bit

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

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