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Pretrain-Qwen-200M-GGUF
tensorblock/Pretrain-Qwen-200M-GGUF
Pretrain-Qwen-200M-GGUF is a text generation model from tensorblock. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as apache-2.0.
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1.9 GB
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Repo makeup
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.gguf136 MB · 100%
At a glance
- Task
- Text Generation
- Library
- transformers
- License
- apache-2.0
- Access
- Public
- Created
- Dec 7, 2024
- Updated
- Jan 27, 2026
- SHA
- b0543526
Try a prompt
Base models
Model card
From the Hugging Face model README
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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.
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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'
- Task
- Text Generation
- Library
- transformers
- License
- apache-2.0
- Languages
- en
- Created
- Dec 7, 2024
- Updated
- Jan 27, 2026