Transformers
GGUF
English
BERT
NeuroBERT
transformer
pre-training
nlp
tiny-bert
edge-ai
low-resource
micro-nlp
quantized
iot
wearable-ai
offline-assistant
intent-detection
real-time
smart-home
embedded-systems
command-classification
toy-robotics
voice-ai
eco-ai
english
lightweight
mobile-nlp
ner
feature-extraction
Instructions to use Trkaga/NeuroBERT-Mini-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Trkaga/NeuroBERT-Mini-GGUF with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Trkaga/NeuroBERT-Mini-GGUF", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use Trkaga/NeuroBERT-Mini-GGUF with llama.cpp:
Install (macOS, Linux)
curl -LsSf https://llama.app/install.sh | sh # Start a local OpenAI-compatible server with a web UI: llama serve -hf Trkaga/NeuroBERT-Mini-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf Trkaga/NeuroBERT-Mini-GGUF:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf Trkaga/NeuroBERT-Mini-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf Trkaga/NeuroBERT-Mini-GGUF:Q4_K_M
Use pre-built binary
# Download pre-built binary from: # https://github.com/ggerganov/llama.cpp/releases # Start a local OpenAI-compatible server with a web UI: ./llama-server -hf Trkaga/NeuroBERT-Mini-GGUF:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf Trkaga/NeuroBERT-Mini-GGUF:Q4_K_M
Build from source code
git clone https://github.com/ggerganov/llama.cpp.git cd llama.cpp cmake -B build cmake --build build -j --target llama-server llama-cli # Start a local OpenAI-compatible server with a web UI: ./build/bin/llama-server -hf Trkaga/NeuroBERT-Mini-GGUF:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf Trkaga/NeuroBERT-Mini-GGUF:Q4_K_M
Use Docker
docker model run hf.co/Trkaga/NeuroBERT-Mini-GGUF:Q4_K_M
- LM Studio
- Jan
- Ollama
How to use Trkaga/NeuroBERT-Mini-GGUF with Ollama:
ollama run hf.co/Trkaga/NeuroBERT-Mini-GGUF:Q4_K_M
- Unsloth Studio
How to use Trkaga/NeuroBERT-Mini-GGUF with Unsloth Studio:
Install Unsloth Studio (macOS, Linux, WSL)
curl -fsSL https://unsloth.ai/install.sh | sh # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for Trkaga/NeuroBERT-Mini-GGUF to start chatting
Install Unsloth Studio (Windows)
irm https://unsloth.ai/install.ps1 | iex # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for Trkaga/NeuroBERT-Mini-GGUF to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for Trkaga/NeuroBERT-Mini-GGUF to start chatting
- Docker Model Runner
How to use Trkaga/NeuroBERT-Mini-GGUF with Docker Model Runner:
docker model run hf.co/Trkaga/NeuroBERT-Mini-GGUF:Q4_K_M
- Lemonade
How to use Trkaga/NeuroBERT-Mini-GGUF with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull Trkaga/NeuroBERT-Mini-GGUF:Q4_K_M
Run and chat with the model
lemonade run user.NeuroBERT-Mini-GGUF-Q4_K_M
List all available models
lemonade list
- Atomic Chat
Commit ·
4111b76
0
Parent(s):
Duplicate from mradermacher/NeuroBERT-Mini-GGUF
Browse filesCo-authored-by: team mradermacher <mradermacher@users.noreply.huggingface.co>
- .gitattributes +47 -0
- NeuroBERT-Mini.IQ4_XS.gguf +3 -0
- NeuroBERT-Mini.Q2_K.gguf +3 -0
- NeuroBERT-Mini.Q3_K_L.gguf +3 -0
- NeuroBERT-Mini.Q3_K_M.gguf +3 -0
- NeuroBERT-Mini.Q3_K_S.gguf +3 -0
- NeuroBERT-Mini.Q4_K_M.gguf +3 -0
- NeuroBERT-Mini.Q4_K_S.gguf +3 -0
- NeuroBERT-Mini.Q5_K_M.gguf +3 -0
- NeuroBERT-Mini.Q5_K_S.gguf +3 -0
- NeuroBERT-Mini.Q6_K.gguf +3 -0
- NeuroBERT-Mini.Q8_0.gguf +3 -0
- NeuroBERT-Mini.f16.gguf +3 -0
- README.md +98 -0
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---
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| 2 |
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base_model: boltuix/NeuroBERT-Mini
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datasets:
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- custom-dataset
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language:
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- en
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library_name: transformers
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license: mit
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mradermacher:
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readme_rev: 1
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quantized_by: mradermacher
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tags:
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| 13 |
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- BERT
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| 14 |
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- NeuroBERT
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| 15 |
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- transformer
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| 16 |
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- pre-training
|
| 17 |
+
- nlp
|
| 18 |
+
- tiny-bert
|
| 19 |
+
- edge-ai
|
| 20 |
+
- transformers
|
| 21 |
+
- low-resource
|
| 22 |
+
- micro-nlp
|
| 23 |
+
- quantized
|
| 24 |
+
- iot
|
| 25 |
+
- wearable-ai
|
| 26 |
+
- offline-assistant
|
| 27 |
+
- intent-detection
|
| 28 |
+
- real-time
|
| 29 |
+
- smart-home
|
| 30 |
+
- embedded-systems
|
| 31 |
+
- command-classification
|
| 32 |
+
- toy-robotics
|
| 33 |
+
- voice-ai
|
| 34 |
+
- eco-ai
|
| 35 |
+
- english
|
| 36 |
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- lightweight
|
| 37 |
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- mobile-nlp
|
| 38 |
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- ner
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| 39 |
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---
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| 40 |
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## About
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| 41 |
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| 42 |
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<!-- ### quantize_version: 2 -->
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| 43 |
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<!-- ### output_tensor_quantised: 1 -->
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| 44 |
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<!-- ### convert_type: hf -->
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| 45 |
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<!-- ### vocab_type: -->
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| 46 |
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<!-- ### tags: -->
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| 47 |
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static quants of https://huggingface.co/boltuix/NeuroBERT-Mini
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| 48 |
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| 49 |
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<!-- provided-files -->
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| 50 |
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| 51 |
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***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#NeuroBERT-Mini-GGUF).***
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| 52 |
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| 53 |
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weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
|
| 54 |
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## Usage
|
| 55 |
+
|
| 56 |
+
If you are unsure how to use GGUF files, refer to one of [TheBloke's
|
| 57 |
+
READMEs](https://huggingface.co/TheBloke/KafkaLM-70B-German-V0.1-GGUF) for
|
| 58 |
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more details, including on how to concatenate multi-part files.
|
| 59 |
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| 60 |
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## Provided Quants
|
| 61 |
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|
| 62 |
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(sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants)
|
| 63 |
+
|
| 64 |
+
| Link | Type | Size/GB | Notes |
|
| 65 |
+
|:-----|:-----|--------:|:------|
|
| 66 |
+
| [GGUF](https://huggingface.co/mradermacher/NeuroBERT-Mini-GGUF/resolve/main/NeuroBERT-Mini.Q2_K.gguf) | Q2_K | 0.1 | |
|
| 67 |
+
| [GGUF](https://huggingface.co/mradermacher/NeuroBERT-Mini-GGUF/resolve/main/NeuroBERT-Mini.Q3_K_S.gguf) | Q3_K_S | 0.1 | |
|
| 68 |
+
| [GGUF](https://huggingface.co/mradermacher/NeuroBERT-Mini-GGUF/resolve/main/NeuroBERT-Mini.Q3_K_M.gguf) | Q3_K_M | 0.1 | lower quality |
|
| 69 |
+
| [GGUF](https://huggingface.co/mradermacher/NeuroBERT-Mini-GGUF/resolve/main/NeuroBERT-Mini.IQ4_XS.gguf) | IQ4_XS | 0.1 | |
|
| 70 |
+
| [GGUF](https://huggingface.co/mradermacher/NeuroBERT-Mini-GGUF/resolve/main/NeuroBERT-Mini.Q3_K_L.gguf) | Q3_K_L | 0.1 | |
|
| 71 |
+
| [GGUF](https://huggingface.co/mradermacher/NeuroBERT-Mini-GGUF/resolve/main/NeuroBERT-Mini.Q4_K_S.gguf) | Q4_K_S | 0.1 | fast, recommended |
|
| 72 |
+
| [GGUF](https://huggingface.co/mradermacher/NeuroBERT-Mini-GGUF/resolve/main/NeuroBERT-Mini.Q4_K_M.gguf) | Q4_K_M | 0.1 | fast, recommended |
|
| 73 |
+
| [GGUF](https://huggingface.co/mradermacher/NeuroBERT-Mini-GGUF/resolve/main/NeuroBERT-Mini.Q5_K_S.gguf) | Q5_K_S | 0.1 | |
|
| 74 |
+
| [GGUF](https://huggingface.co/mradermacher/NeuroBERT-Mini-GGUF/resolve/main/NeuroBERT-Mini.Q5_K_M.gguf) | Q5_K_M | 0.1 | |
|
| 75 |
+
| [GGUF](https://huggingface.co/mradermacher/NeuroBERT-Mini-GGUF/resolve/main/NeuroBERT-Mini.Q6_K.gguf) | Q6_K | 0.1 | very good quality |
|
| 76 |
+
| [GGUF](https://huggingface.co/mradermacher/NeuroBERT-Mini-GGUF/resolve/main/NeuroBERT-Mini.Q8_0.gguf) | Q8_0 | 0.1 | fast, best quality |
|
| 77 |
+
| [GGUF](https://huggingface.co/mradermacher/NeuroBERT-Mini-GGUF/resolve/main/NeuroBERT-Mini.f16.gguf) | f16 | 0.1 | 16 bpw, overkill |
|
| 78 |
+
|
| 79 |
+
Here is a handy graph by ikawrakow comparing some lower-quality quant
|
| 80 |
+
types (lower is better):
|
| 81 |
+
|
| 82 |
+

|
| 83 |
+
|
| 84 |
+
And here are Artefact2's thoughts on the matter:
|
| 85 |
+
https://gist.github.com/Artefact2/b5f810600771265fc1e39442288e8ec9
|
| 86 |
+
|
| 87 |
+
## FAQ / Model Request
|
| 88 |
+
|
| 89 |
+
See https://huggingface.co/mradermacher/model_requests for some answers to
|
| 90 |
+
questions you might have and/or if you want some other model quantized.
|
| 91 |
+
|
| 92 |
+
## Thanks
|
| 93 |
+
|
| 94 |
+
I thank my company, [nethype GmbH](https://www.nethype.de/), for letting
|
| 95 |
+
me use its servers and providing upgrades to my workstation to enable
|
| 96 |
+
this work in my free time.
|
| 97 |
+
|
| 98 |
+
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