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Sponsored by
Agentkit
tensorblock / Vikhr-Llama-3.2-1B-Instruct-GGUF
Model's Last Updated: January 28 2026
Introduction of Vikhr-Llama-3.2-1B-Instruct-GGUF
Model Details of Vikhr-Llama-3.2-1B-Instruct-GGUF
Feedback and support: TensorBlock's Twitter/X , Telegram Group and Discord server
Vikhrmodels/Vikhr-Llama-3.2-1B-Instruct - GGUF
This repo contains GGUF format model files for Vikhrmodels/Vikhr-Llama-3.2-1B-Instruct .
The files were quantized using machines provided by TensorBlock , and they are compatible with llama.cpp as of commit b4011 .
Prompt template
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
Cutting Knowledge Date: December 2023
Today Date: 12 Nov 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 |
|---|---|---|---|
| Vikhr-Llama-3.2-1B-Instruct-Q2_K.gguf | Q2_K | 0.541 GB | smallest, significant quality loss - not recommended for most purposes |
| Vikhr-Llama-3.2-1B-Instruct-Q3_K_S.gguf | Q3_K_S | 0.598 GB | very small, high quality loss |
| Vikhr-Llama-3.2-1B-Instruct-Q3_K_M.gguf | Q3_K_M | 0.643 GB | very small, high quality loss |
| Vikhr-Llama-3.2-1B-Instruct-Q3_K_L.gguf | Q3_K_L | 0.682 GB | small, substantial quality loss |
| Vikhr-Llama-3.2-1B-Instruct-Q4_0.gguf | Q4_0 | 0.718 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
| Vikhr-Llama-3.2-1B-Instruct-Q4_K_S.gguf | Q4_K_S | 0.722 GB | small, greater quality loss |
| Vikhr-Llama-3.2-1B-Instruct-Q4_K_M.gguf | Q4_K_M | 0.752 GB | medium, balanced quality - recommended |
| Vikhr-Llama-3.2-1B-Instruct-Q5_0.gguf | Q5_0 | 0.831 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
| Vikhr-Llama-3.2-1B-Instruct-Q5_K_S.gguf | Q5_K_S | 0.831 GB | large, low quality loss - recommended |
| Vikhr-Llama-3.2-1B-Instruct-Q5_K_M.gguf | Q5_K_M | 0.849 GB | large, very low quality loss - recommended |
| Vikhr-Llama-3.2-1B-Instruct-Q6_K.gguf | Q6_K | 0.952 GB | very large, extremely low quality loss |
| Vikhr-Llama-3.2-1B-Instruct-Q8_0.gguf | Q8_0 | 1.230 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/Vikhr-Llama-3.2-1B-Instruct-GGUF --include "Vikhr-Llama-3.2-1B-Instruct-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/Vikhr-Llama-3.2-1B-Instruct-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'
Runs of tensorblock Vikhr-Llama-3.2-1B-Instruct-GGUF on huggingface.co
451
Total runs
0
24-hour runs
6
3-day runs
52
7-day runs
81
30-day runs
More Information About Vikhr-Llama-3.2-1B-Instruct-GGUF huggingface.co Model
Url of Vikhr-Llama-3.2-1B-Instruct-GGUF
Vikhr-Llama-3.2-1B-Instruct-GGUF huggingface.co Url
Provider of Vikhr-Llama-3.2-1B-Instruct-GGUF huggingface.co
Other API from tensorblock
Updated:July 09 2025
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