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Mistral-NeMo-Minitron-8B-Base-IMat-GGUF
legraphista/Mistral-NeMo-Minitron-8B-Base-IMat-GGUF
Mistral-NeMo-Minitron-8B-Base-IMat-GGUF is a text generation model from legraphista. Use it when you need the model to write or continue text. It is set up for gguf. The card lists the license as other.
Llama.cpp imatrix quantization of nvidia/Mistral-NeMo-Minitron-8B-Base
All-time downloads
24.1K
Public
Repo size
131 GB
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1
Public
Repo makeup
Click a slice to open those files.
.gguf131 GB · 100%
At a glance
- Task
- Text Generation
- Library
- gguf
- License
- other
- Access
- Public
- Created
- Aug 21, 2024
- Updated
- Aug 21, 2024
- SHA
- 58fd2988
Try a prompt
Base models
Model card
From the Hugging Face model README
Mistral-NeMo-Minitron-8B-Base-IMat-GGUF
Llama.cpp imatrix quantization of nvidia/Mistral-NeMo-Minitron-8B-Base
Original Model: nvidia/Mistral-NeMo-Minitron-8B-Base
Original dtype: BF16 (bfloat16)
Quantized by: llama.cpp b3613
IMatrix dataset: here
Files
IMatrix
Status: ✅ Available
Link: here
Common Quants
| Filename | Quant type | File Size | Status | Uses IMatrix | Is Split |
|---|---|---|---|---|---|
| Mistral-NeMo-Minitron-8B-Base.Q8_0.gguf | Q8_0 | 8.95GB | ✅ Available | ⚪ Static | 📦 No |
| Mistral-NeMo-Minitron-8B-Base.Q6_K.gguf | Q6_K | 6.91GB | ✅ Available | ⚪ Static | 📦 No |
| Mistral-NeMo-Minitron-8B-Base.Q4_K.gguf | Q4_K | 5.15GB | ✅ Available | 🟢 IMatrix | 📦 No |
| Mistral-NeMo-Minitron-8B-Base.Q3_K.gguf | Q3_K | 4.21GB | ✅ Available | 🟢 IMatrix | 📦 No |
| Mistral-NeMo-Minitron-8B-Base.Q2_K.gguf | Q2_K | 3.33GB | ✅ Available | 🟢 IMatrix | 📦 No |
All Quants
Downloading using huggingface-cli
If you do not have hugginface-cli installed:
pip install -U "huggingface_hub[cli]"
Download the specific file you want:
huggingface-cli download legraphista/Mistral-NeMo-Minitron-8B-Base-IMat-GGUF --include "Mistral-NeMo-Minitron-8B-Base.Q8_0.gguf" --local-dir ./
If the model file is big, it has been split into multiple files. In order to download them all to a local folder, run:
huggingface-cli download legraphista/Mistral-NeMo-Minitron-8B-Base-IMat-GGUF --include "Mistral-NeMo-Minitron-8B-Base.Q8_0/*" --local-dir ./
# see FAQ for merging GGUF's
Inference
Llama.cpp
llama.cpp/main -m Mistral-NeMo-Minitron-8B-Base.Q8_0.gguf --color -i -p "prompt here"
FAQ
Why is the IMatrix not applied everywhere?
According to this investigation, it appears that lower quantizations are the only ones that benefit from the imatrix input (as per hellaswag results).
How do I merge a split GGUF?
- Make sure you have
gguf-splitavailable- To get hold of
gguf-split, navigate to https://github.com/ggerganov/llama.cpp/releases - Download the appropriate zip for your system from the latest release
- Unzip the archive and you should be able to find
gguf-split
- To get hold of
- Locate your GGUF chunks folder (ex:
Mistral-NeMo-Minitron-8B-Base.Q8_0) - Run
gguf-split --merge Mistral-NeMo-Minitron-8B-Base.Q8_0/Mistral-NeMo-Minitron-8B-Base.Q8_0-00001-of-XXXXX.gguf Mistral-NeMo-Minitron-8B-Base.Q8_0.gguf- Make sure to point
gguf-splitto the first chunk of the split.
- Make sure to point
Got a suggestion? Ping me @legraphista!
- Task
- Text Generation
- Library
- gguf
- License
- other
- Created
- Aug 21, 2024
- Updated
- Aug 21, 2024