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Walmart-the-bag/Yi-6B-Infinity-Chat - GGUF

This repo contains GGUF format model files for Walmart-the-bag/Yi-6B-Infinity-Chat.

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

Prompt template

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

Model file specification

Filename Quant type File Size Description
Yi-6B-Infinity-Chat-Q2_K.gguf Q2_K 2.177 GB smallest, significant quality loss - not recommended for most purposes
Yi-6B-Infinity-Chat-Q3_K_S.gguf Q3_K_S 2.523 GB very small, high quality loss
Yi-6B-Infinity-Chat-Q3_K_M.gguf Q3_K_M 2.788 GB very small, high quality loss
Yi-6B-Infinity-Chat-Q3_K_L.gguf Q3_K_L 3.015 GB small, substantial quality loss
Yi-6B-Infinity-Chat-Q4_0.gguf Q4_0 3.241 GB legacy; small, very high quality loss - prefer using Q3_K_M
Yi-6B-Infinity-Chat-Q4_K_S.gguf Q4_K_S 3.263 GB small, greater quality loss
Yi-6B-Infinity-Chat-Q4_K_M.gguf Q4_K_M 3.422 GB medium, balanced quality - recommended
Yi-6B-Infinity-Chat-Q5_0.gguf Q5_0 3.916 GB legacy; medium, balanced quality - prefer using Q4_K_M
Yi-6B-Infinity-Chat-Q5_K_S.gguf Q5_K_S 3.916 GB large, low quality loss - recommended
Yi-6B-Infinity-Chat-Q5_K_M.gguf Q5_K_M 4.009 GB large, very low quality loss - recommended
Yi-6B-Infinity-Chat-Q6_K.gguf Q6_K 4.633 GB very large, extremely low quality loss
Yi-6B-Infinity-Chat-Q8_0.gguf Q8_0 6.000 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-6B-Infinity-Chat-GGUF --include "Yi-6B-Infinity-Chat-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-6B-Infinity-Chat-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'
Downloads last month
40
GGUF
Model size
6.06B params
Architecture
llama

2-bit

3-bit

4-bit

5-bit

6-bit

8-bit

Inference API
Inference API (serverless) has been turned off for this model.

Model tree for tensorblock/Yi-6B-Infinity-Chat-GGUF

Base model

01-ai/Yi-6B-Chat
Quantized
(3)
this model

Evaluation results