tensorblock / neural-coder_finetuned-5-GGUF

huggingface.co
Total runs: 1.3K
24-hour runs: 0
7-day runs: 425
30-day runs: 1.2K
Model's Last Updated: August 11 2025
text-generation

Introduction of neural-coder_finetuned-5-GGUF

Model Details of neural-coder_finetuned-5-GGUF

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neural-coder/finetuned-5 - GGUF

This repo contains GGUF format model files for neural-coder/finetuned-5 .

The files were quantized using machines provided by TensorBlock , and they are compatible with llama.cpp as of commit b5753 .

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Prompt template
<|begin_of_text|><|start_header_id|>system<|end_header_id|>

{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
finetuned-5-Q2_K.gguf Q2_K 3.179 GB smallest, significant quality loss - not recommended for most purposes
finetuned-5-Q3_K_S.gguf Q3_K_S 3.665 GB very small, high quality loss
finetuned-5-Q3_K_M.gguf Q3_K_M 4.019 GB very small, high quality loss
finetuned-5-Q3_K_L.gguf Q3_K_L 4.322 GB small, substantial quality loss
finetuned-5-Q4_0.gguf Q4_0 4.661 GB legacy; small, very high quality loss - prefer using Q3_K_M
finetuned-5-Q4_K_S.gguf Q4_K_S 4.693 GB small, greater quality loss
finetuned-5-Q4_K_M.gguf Q4_K_M 4.921 GB medium, balanced quality - recommended
finetuned-5-Q5_0.gguf Q5_0 5.599 GB legacy; medium, balanced quality - prefer using Q4_K_M
finetuned-5-Q5_K_S.gguf Q5_K_S 5.599 GB large, low quality loss - recommended
finetuned-5-Q5_K_M.gguf Q5_K_M 5.733 GB large, very low quality loss - recommended
finetuned-5-Q6_K.gguf Q6_K 6.596 GB very large, extremely low quality loss
finetuned-5-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/neural-coder_finetuned-5-GGUF --include "finetuned-5-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/neural-coder_finetuned-5-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'

Runs of tensorblock neural-coder_finetuned-5-GGUF on huggingface.co

1.3K
Total runs
0
24-hour runs
4
3-day runs
425
7-day runs
1.2K
30-day runs

More Information About neural-coder_finetuned-5-GGUF huggingface.co Model

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neural-coder_finetuned-5-GGUF huggingface.co Url

https://huggingface.co/tensorblock/neural-coder_finetuned-5-GGUF

tensorblock neural-coder_finetuned-5-GGUF online free

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tensorblock neural-coder_finetuned-5-GGUF online free url in huggingface.co:

https://huggingface.co/tensorblock/neural-coder_finetuned-5-GGUF

neural-coder_finetuned-5-GGUF install

neural-coder_finetuned-5-GGUF is an open source model from GitHub that offers a free installation service, and any user can find neural-coder_finetuned-5-GGUF on GitHub to install. At the same time, huggingface.co provides the effect of neural-coder_finetuned-5-GGUF install, users can directly use neural-coder_finetuned-5-GGUF installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

neural-coder_finetuned-5-GGUF install url in huggingface.co:

https://huggingface.co/tensorblock/neural-coder_finetuned-5-GGUF

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