rohinm_self_eval_model_logistic_qwen-GGUF

tensorblock/rohinm_self_eval_model_logistic_qwen-GGUF

rohinm_self_eval_model_logistic_qwen-GGUF is a machine learning model from tensorblock. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers.

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Downloads · 30 days

1% of all-time downloads

All-time downloads

830

Public

Repo size

13.8 GB

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.gguf778 MB · 100%

At a glance

Library: transformers
Access: Public
Created: Jul 23, 2025
Updated: Jan 27, 2026
SHA: 36bbfa41

Base models

rohinm/self_eval_model_logistic_qwen

Model card

From the Hugging Face model README

rohinm/self_eval_model_logistic_qwen - GGUF

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This repo contains GGUF format model files for rohinm/self_eval_model_logistic_qwen.

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

<|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
self_eval_model_logistic_qwen-Q2_K.gguf	Q2_K	0.778 GB	smallest, significant quality loss - not recommended for most purposes
self_eval_model_logistic_qwen-Q3_K_S.gguf	Q3_K_S	0.867 GB	very small, high quality loss
self_eval_model_logistic_qwen-Q3_K_M.gguf	Q3_K_M	0.940 GB	very small, high quality loss
self_eval_model_logistic_qwen-Q3_K_L.gguf	Q3_K_L	1.004 GB	small, substantial quality loss
self_eval_model_logistic_qwen-Q4_0.gguf	Q4_0	1.054 GB	legacy; small, very high quality loss - prefer using Q3_K_M
self_eval_model_logistic_qwen-Q4_K_S.gguf	Q4_K_S	1.060 GB	small, greater quality loss
self_eval_model_logistic_qwen-Q4_K_M.gguf	Q4_K_M	1.107 GB	medium, balanced quality - recommended
self_eval_model_logistic_qwen-Q5_0.gguf	Q5_0	1.231 GB	legacy; medium, balanced quality - prefer using Q4_K_M
self_eval_model_logistic_qwen-Q5_K_S.gguf	Q5_K_S	1.231 GB	large, low quality loss - recommended
self_eval_model_logistic_qwen-Q5_K_M.gguf	Q5_K_M	1.258 GB	large, very low quality loss - recommended
self_eval_model_logistic_qwen-Q6_K.gguf	Q6_K	1.418 GB	very large, extremely low quality loss
self_eval_model_logistic_qwen-Q8_0.gguf	Q8_0	1.834 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/rohinm_self_eval_model_logistic_qwen-GGUF --include "self_eval_model_logistic_qwen-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/rohinm_self_eval_model_logistic_qwen-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'

Library: transformers
Created: Jul 23, 2025
Updated: Jan 27, 2026