TensorBlock

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

MiniLLM/Pretrain-Qwen-200M - GGUF

This repo contains GGUF format model files for MiniLLM/Pretrain-Qwen-200M.

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

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
Pretrain-Qwen-200M-Q2_K.gguf Q2_K 0.136 GB smallest, significant quality loss - not recommended for most purposes
Pretrain-Qwen-200M-Q3_K_S.gguf Q3_K_S 0.142 GB very small, high quality loss
Pretrain-Qwen-200M-Q3_K_M.gguf Q3_K_M 0.146 GB very small, high quality loss
Pretrain-Qwen-200M-Q3_K_L.gguf Q3_K_L 0.149 GB small, substantial quality loss
Pretrain-Qwen-200M-Q4_0.gguf Q4_0 0.151 GB legacy; small, very high quality loss - prefer using Q3_K_M
Pretrain-Qwen-200M-Q4_K_S.gguf Q4_K_S 0.153 GB small, greater quality loss
Pretrain-Qwen-200M-Q4_K_M.gguf Q4_K_M 0.158 GB medium, balanced quality - recommended
Pretrain-Qwen-200M-Q5_0.gguf Q5_0 0.161 GB legacy; medium, balanced quality - prefer using Q4_K_M
Pretrain-Qwen-200M-Q5_K_S.gguf Q5_K_S 0.163 GB large, low quality loss - recommended
Pretrain-Qwen-200M-Q5_K_M.gguf Q5_K_M 0.166 GB large, very low quality loss - recommended
Pretrain-Qwen-200M-Q6_K.gguf Q6_K 0.178 GB very large, extremely low quality loss
Pretrain-Qwen-200M-Q8_0.gguf Q8_0 0.222 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/Pretrain-Qwen-200M-GGUF --include "Pretrain-Qwen-200M-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/Pretrain-Qwen-200M-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'
Downloads last month
267
GGUF
Model size
203M params
Architecture
qwen2

2-bit

3-bit

4-bit

5-bit

6-bit

8-bit

Inference Examples
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated) instead.

Model tree for tensorblock/Pretrain-Qwen-200M-GGUF

Quantized
(1)
this model

Datasets used to train tensorblock/Pretrain-Qwen-200M-GGUF