lgaalves_llama-2-7b-hf_open-platypus-GGUF

tensorblock/lgaalves_llama-2-7b-hf_open-platypus-GGUF

lgaalves_llama-2-7b-hf_open-platypus-GGUF is a text generation model from tensorblock. Use it when you need the model to write or continue text. The card lists the license as llama2.

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Downloads · 30 days

4% of all-time downloads

All-time downloads

804

Public

Repo size

50.9 GB

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.gguf2.5 GB · 100%

At a glance

Task: Text Generation
License: llama2
Access: Public
Created: May 8, 2025
Updated: Jan 27, 2026
SHA: 6131dc52

Try a prompt

Base models

lgaalves/llama-2-7b-hf_open-platypus

Datasets

garage-bAInd/Open-Platypus

Model card

From the Hugging Face model README

lgaalves/llama-2-7b-hf_open-platypus - GGUF

This repo contains GGUF format model files for lgaalves/llama-2-7b-hf_open-platypus.

The files were quantized using machines provided by TensorBlock, and they are compatible with llama.cpp as of commit b5165.

Our projects

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Prompt template

Unable to determine prompt format automatically. Please check the original model repository for the correct prompt format.

Model file specification

Filename	Quant type	File Size	Description
llama-2-7b-hf_open-platypus-Q2_K.gguf	Q2_K	2.533 GB	smallest, significant quality loss - not recommended for most purposes
llama-2-7b-hf_open-platypus-Q3_K_S.gguf	Q3_K_S	2.948 GB	very small, high quality loss
llama-2-7b-hf_open-platypus-Q3_K_M.gguf	Q3_K_M	3.298 GB	very small, high quality loss
llama-2-7b-hf_open-platypus-Q3_K_L.gguf	Q3_K_L	3.597 GB	small, substantial quality loss
llama-2-7b-hf_open-platypus-Q4_0.gguf	Q4_0	3.826 GB	legacy; small, very high quality loss - prefer using Q3_K_M
llama-2-7b-hf_open-platypus-Q4_K_S.gguf	Q4_K_S	3.857 GB	small, greater quality loss
llama-2-7b-hf_open-platypus-Q4_K_M.gguf	Q4_K_M	4.081 GB	medium, balanced quality - recommended
llama-2-7b-hf_open-platypus-Q5_0.gguf	Q5_0	4.652 GB	legacy; medium, balanced quality - prefer using Q4_K_M
llama-2-7b-hf_open-platypus-Q5_K_S.gguf	Q5_K_S	4.652 GB	large, low quality loss - recommended
llama-2-7b-hf_open-platypus-Q5_K_M.gguf	Q5_K_M	4.783 GB	large, very low quality loss - recommended
llama-2-7b-hf_open-platypus-Q6_K.gguf	Q6_K	5.529 GB	very large, extremely low quality loss
llama-2-7b-hf_open-platypus-Q8_0.gguf	Q8_0	7.161 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/lgaalves_llama-2-7b-hf_open-platypus-GGUF --include "llama-2-7b-hf_open-platypus-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/lgaalves_llama-2-7b-hf_open-platypus-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'

Task: Text Generation
License: llama2
Languages: en
Created: May 8, 2025
Updated: Jan 27, 2026