Llama-3.1-8B-R1-experimental-GGUF

tensorblock/Llama-3.1-8B-R1-experimental-GGUF

Llama-3.1-8B-R1-experimental-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 mit.

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Downloads · 30 days

117

7% of all-time downloads

All-time downloads

1.6K

Public

Repo size

61.5 GB

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.gguf3.2 GB · 100%

At a glance

Task: Text Generation
Library: transformers
License: mit
Access: Public
Created: Mar 22, 2025
Updated: Jan 27, 2026
SHA: f7cb1308

Try a prompt

Base models

CreitinGameplays/Llama-3.1-8B-R1-experimental

Datasets

CreitinGameplays/DeepSeek-R1-Distill-Qwen-32B_NUMINA_train_amc_aime-llama3.1

Model card

From the Hugging Face model README

CreitinGameplays/Llama-3.1-8B-R1-experimental - GGUF

This repo contains GGUF format model files for CreitinGameplays/Llama-3.1-8B-R1-experimental.

The files were quantized using machines provided by TensorBlock, and they are compatible with llama.cpp as of commit b4882.

Our projects

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<|begin_of_text|><|start_header_id|>system<|end_header_id|>

You are an AI assistant focused on providing systematic, well-reasoned responses. Response Structure: - Format: <think>{reasoning}</think>{answer} - Reasoning: Minimum 6 logical steps only when it required in <think> block - Process: Think first, then answer. Always think in English-only!<|eot_id|>
<|start_header_id|>user<|end_header_id|>

{prompt}<|eot_id|><|start_header_id|>assistant<|end_header_id|><think>

Model file specification

Filename	Quant type	File Size	Description
Llama-3.1-8B-R1-experimental-Q2_K.gguf	Q2_K	3.179 GB	smallest, significant quality loss - not recommended for most purposes
Llama-3.1-8B-R1-experimental-Q3_K_S.gguf	Q3_K_S	3.665 GB	very small, high quality loss
Llama-3.1-8B-R1-experimental-Q3_K_M.gguf	Q3_K_M	4.019 GB	very small, high quality loss
Llama-3.1-8B-R1-experimental-Q3_K_L.gguf	Q3_K_L	4.322 GB	small, substantial quality loss
Llama-3.1-8B-R1-experimental-Q4_0.gguf	Q4_0	4.661 GB	legacy; small, very high quality loss - prefer using Q3_K_M
Llama-3.1-8B-R1-experimental-Q4_K_S.gguf	Q4_K_S	4.693 GB	small, greater quality loss
Llama-3.1-8B-R1-experimental-Q4_K_M.gguf	Q4_K_M	4.921 GB	medium, balanced quality - recommended
Llama-3.1-8B-R1-experimental-Q5_0.gguf	Q5_0	5.599 GB	legacy; medium, balanced quality - prefer using Q4_K_M
Llama-3.1-8B-R1-experimental-Q5_K_S.gguf	Q5_K_S	5.599 GB	large, low quality loss - recommended
Llama-3.1-8B-R1-experimental-Q5_K_M.gguf	Q5_K_M	5.733 GB	large, very low quality loss - recommended
Llama-3.1-8B-R1-experimental-Q6_K.gguf	Q6_K	6.596 GB	very large, extremely low quality loss
Llama-3.1-8B-R1-experimental-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-3.1-8B-R1-experimental-GGUF --include "Llama-3.1-8B-R1-experimental-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-3.1-8B-R1-experimental-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'

Task: Text Generation
Library: transformers
License: mit
Languages: en
Created: Mar 22, 2025
Updated: Jan 27, 2026