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Sponsored by
YouArt
tensorblock / Llama-Primus-Merged-GGUF
Model's Last Updated: March 22 2025
text-generation
Introduction of Llama-Primus-Merged-GGUF
Model Details of Llama-Primus-Merged-GGUF
Feedback and support: TensorBlock's Twitter/X , Telegram Group and Discord server
trendmicro-ailab/Llama-Primus-Merged - GGUF
This repo contains GGUF format model files for trendmicro-ailab/Llama-Primus-Merged .
The files were quantized using machines provided by TensorBlock , and they are compatible with llama.cpp as of commit b4882 .
Prompt template
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
Cutting Knowledge Date: December 2023
Today Date: 26 Jul 2024
{system_prompt}<|eot_id|><|start_header_id|>user<|end_header_id|>
{prompt}<|eot_id|><|start_header_id|>assistant<|end_header_id|>
Model file specification
| Filename | Quant type | File Size | Description |
|---|---|---|---|
| Llama-Primus-Merged-Q2_K.gguf | Q2_K | 3.179 GB | smallest, significant quality loss - not recommended for most purposes |
| Llama-Primus-Merged-Q3_K_S.gguf | Q3_K_S | 3.665 GB | very small, high quality loss |
| Llama-Primus-Merged-Q3_K_M.gguf | Q3_K_M | 4.019 GB | very small, high quality loss |
| Llama-Primus-Merged-Q3_K_L.gguf | Q3_K_L | 4.322 GB | small, substantial quality loss |
| Llama-Primus-Merged-Q4_0.gguf | Q4_0 | 4.661 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
| Llama-Primus-Merged-Q4_K_S.gguf | Q4_K_S | 4.693 GB | small, greater quality loss |
| Llama-Primus-Merged-Q4_K_M.gguf | Q4_K_M | 4.921 GB | medium, balanced quality - recommended |
| Llama-Primus-Merged-Q5_0.gguf | Q5_0 | 5.599 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
| Llama-Primus-Merged-Q5_K_S.gguf | Q5_K_S | 5.599 GB | large, low quality loss - recommended |
| Llama-Primus-Merged-Q5_K_M.gguf | Q5_K_M | 5.733 GB | large, very low quality loss - recommended |
| Llama-Primus-Merged-Q6_K.gguf | Q6_K | 6.596 GB | very large, extremely low quality loss |
| Llama-Primus-Merged-Q8_0.gguf | Q8_0 | 8.541 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/Llama-Primus-Merged-GGUF --include "Llama-Primus-Merged-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/Llama-Primus-Merged-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'
Runs of tensorblock Llama-Primus-Merged-GGUF on huggingface.co
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More Information About Llama-Primus-Merged-GGUF huggingface.co Model
Url of Llama-Primus-Merged-GGUF
Llama-Primus-Merged-GGUF huggingface.co Url
Provider of Llama-Primus-Merged-GGUF huggingface.co
Other API from tensorblock
Updated:July 09 2025
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