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Nondzu/Llama-PLLuM-70B-chat-GGUF
Llama-PLLuM-70B-chat-GGUF is a text generation model from Nondzu. Use it when you need the model to write or continue text. The card lists the license as llama3.1.
DISCLAIMER: This is a quantized version of an existing model Llama-PLLuM-70B-chat. I am not the author of the original model. I am only hosting the quantized models. I do not take any responsibility for the models.
Downloads · 30 days
691
4% of all-time downloads
All-time downloads
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.gguf658 GB · 100%
From the Hugging Face model README
DISCLAIMER: This is a quantized version of an existing model Llama-PLLuM-70B-chat. I am not the author of the original model. I am only hosting the quantized models. I do not take any responsibility for the models.
This repository contains GGUF quantized versions of the Llama-PLLuM-70B-chat model. All quantizations were performed using the llama.cpp (release b4765). These quantized models can be run in LM Studio or any other llama.cpp–based project.
Use the following prompt structure:
???
Below is a list of available quantized model files along with their quantization type, file size, whether the file is split, and a short description.
| Filename | Quant Type | File Size | Split | Description |
|---|---|---|---|---|
| Llama-PLLuM-70B-chat-Q2_K.gguf | Q2_K | 25 GB | No | Very low quality but surprisingly usable. |
| Llama-PLLuM-70B-chat-Q3_K.gguf | Q3_K | 32 GB | No | Low quality, suitable for setups with very limited RAM. |
| Llama-PLLuM-70B-chat-Q3_K_L.gguf | Q3_K_L | 35 GB | No | High quality; recommended for quality-focused usage. |
| Llama-PLLuM-70B-chat-Q3_K_M.gguf | Q3_K_M | 32 GB | No | Very high quality, near perfect output – recommended. |
| Llama-PLLuM-70B-chat-Q3_K_S.gguf | Q3_K_S | 29 GB | No | Moderate quality with improved space efficiency. |
| Llama-PLLuM-70B-chat-Q4_K.gguf | Q4_K | 40 GB | No | Good quality for standard use. |
| Llama-PLLuM-70B-chat-Q4_K_M.gguf | Q4_K_M | 40 GB | No | Default quality for most use cases – recommended. |
| Llama-PLLuM-70B-chat-Q4_K_S.gguf | Q4_K_S | 38 GB | No | Slightly lower quality with enhanced space savings – recommended when size is a priority. |
| Llama-PLLuM-70B-chat-Q5_0.gguf | Q5_0 | 46 GB | No | Extremely high quality – the maximum quant available. |
| Llama-PLLuM-70B-chat-Q5_K.gguf | Q5_K | 47 GB | No | Very high quality – recommended for demanding use cases. |
| Llama-PLLuM-70B-chat-Q5_K_M.gguf | Q5_K_M | 47 GB | No | High quality – recommended. |
| Llama-PLLuM-70B-chat-Q5_K_S.gguf | Q5_K_S | 46 GB | No | High quality, offered as an alternative with minimal quality loss. |
| Llama-PLLuM-70B-chat-Q4_0.gguf | Q4_0 | 38 GB | No | Legacy format offering online repacking for ARM/AVX CPU inference. |
| Llama-PLLuM-70B-chat-Q6_K.gguf | Q6_K | 54 GB | Yes | Very high quality with quantized embed/output weights. Split into 2 parts due to file size. |
| • Part 1: Q6_K-00001-of-00002.gguf (37 GB) | ||||
| • Part 2: Q6_K-00002-of-00002.gguf (18 GB) | ||||
| Llama-PLLuM-70B-chat-Q8_0.gguf | Q8_0 | 70 GB | Yes | Maximum quality quantization. Available either as a single file or split into 2 parts. |
| • Part 1: Q8_0.gguf-00001-of-00002.gguf (37 GB) | ||||
| • Part 2: Q8_0.gguf-00002-of-00002.gguf (34 GB) |
*Files marked as "split" must be downloaded in full (all parts) to obtain the complete quantized model.
First, ensure you have the Hugging Face CLI installed:
pip install -U "huggingface_hub[cli]"
Then, target a specific file to download:
huggingface-cli download Nondzu/Llama-PLLuM-70B-chat-GGUF --include "Llama-PLLuM-70B-chat-Q4_K_M.gguf" --local-dir ./
For files larger than 50 GB that are split into multiple parts, use a wildcard to download all parts at once:
huggingface-cli download Nondzu/Llama-PLLuM-70B-chat-GGUF --include "Llama-PLLuM-70B-chat-Q8_0/*" --local-dir ./
You can specify a new local directory (e.g., Llama-PLLuM-70B-chat-Q8_0) or download them directly into the current directory (./).