Transformers
GGUF
English
text-generation-inference
unsloth
llama
trl
sft
TensorBlock
GGUF
conversational
Instructions to use tensorblock/CortexCereal_uxux-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tensorblock/CortexCereal_uxux-GGUF with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("tensorblock/CortexCereal_uxux-GGUF", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use tensorblock/CortexCereal_uxux-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 tensorblock/CortexCereal_uxux-GGUF:Q2_K # Run inference directly in the terminal: llama cli -hf tensorblock/CortexCereal_uxux-GGUF:Q2_K
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf tensorblock/CortexCereal_uxux-GGUF:Q2_K # Run inference directly in the terminal: llama cli -hf tensorblock/CortexCereal_uxux-GGUF:Q2_K
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 tensorblock/CortexCereal_uxux-GGUF:Q2_K # Run inference directly in the terminal: ./llama-cli -hf tensorblock/CortexCereal_uxux-GGUF:Q2_K
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 tensorblock/CortexCereal_uxux-GGUF:Q2_K # Run inference directly in the terminal: ./build/bin/llama-cli -hf tensorblock/CortexCereal_uxux-GGUF:Q2_K
Use Docker
docker model run hf.co/tensorblock/CortexCereal_uxux-GGUF:Q2_K
- LM Studio
- Jan
- Ollama
How to use tensorblock/CortexCereal_uxux-GGUF with Ollama:
ollama run hf.co/tensorblock/CortexCereal_uxux-GGUF:Q2_K
- Unsloth Studio
How to use tensorblock/CortexCereal_uxux-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 tensorblock/CortexCereal_uxux-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 tensorblock/CortexCereal_uxux-GGUF to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for tensorblock/CortexCereal_uxux-GGUF to start chatting
- Pi
How to use tensorblock/CortexCereal_uxux-GGUF with Pi:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf tensorblock/CortexCereal_uxux-GGUF:Q2_K
Configure the model in Pi
# Install Pi: npm install -g @mariozechner/pi-coding-agent # Add to ~/.pi/agent/models.json: { "providers": { "llama-cpp": { "baseUrl": "http://localhost:8080/v1", "api": "openai-completions", "apiKey": "none", "models": [ { "id": "tensorblock/CortexCereal_uxux-GGUF:Q2_K" } ] } } }Run Pi
# Start Pi in your project directory: pi
- Docker Model Runner
How to use tensorblock/CortexCereal_uxux-GGUF with Docker Model Runner:
docker model run hf.co/tensorblock/CortexCereal_uxux-GGUF:Q2_K
- Lemonade
How to use tensorblock/CortexCereal_uxux-GGUF with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull tensorblock/CortexCereal_uxux-GGUF:Q2_K
Run and chat with the model
lemonade run user.CortexCereal_uxux-GGUF-Q2_K
List all available models
lemonade list
- Hermes Agent
How to use tensorblock/CortexCereal_uxux-GGUF with Hermes Agent:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf tensorblock/CortexCereal_uxux-GGUF:Q2_K
Configure Hermes
# Install Hermes: curl -fsSL https://hermes-agent.nousresearch.com/install.sh | bash hermes setup # Point Hermes at the local server: hermes config set model.provider custom hermes config set model.base_url http://127.0.0.1:8080/v1 hermes config set model.default tensorblock/CortexCereal_uxux-GGUF:Q2_K
Run Hermes
hermes
- Atomic Chat
- OpenClaw
How to use tensorblock/CortexCereal_uxux-GGUF with OpenClaw:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf tensorblock/CortexCereal_uxux-GGUF:Q2_K
Configure OpenClaw
# Install OpenClaw: npm install -g openclaw@latest # Register the local server and set it as the default model: openclaw onboard --non-interactive --mode local \ --auth-choice custom-api-key \ --custom-base-url http://127.0.0.1:8080/v1 \ --custom-model-id "tensorblock/CortexCereal_uxux-GGUF:Q2_K" \ --custom-provider-id llama-cpp \ --custom-compatibility openai \ --custom-text-input \ --accept-risk \ --skip-health
Run OpenClaw
openclaw agent --local --agent main --message "Hello from Hugging Face"
Upload folder using huggingface_hub
Browse files- .gitattributes +12 -0
- README.md +131 -0
- uxux-Q2_K.gguf +3 -0
- uxux-Q3_K_L.gguf +3 -0
- uxux-Q3_K_M.gguf +3 -0
- uxux-Q3_K_S.gguf +3 -0
- uxux-Q4_0.gguf +3 -0
- uxux-Q4_K_M.gguf +3 -0
- uxux-Q4_K_S.gguf +3 -0
- uxux-Q5_0.gguf +3 -0
- uxux-Q5_K_M.gguf +3 -0
- uxux-Q5_K_S.gguf +3 -0
- uxux-Q6_K.gguf +3 -0
- uxux-Q8_0.gguf +3 -0
.gitattributes
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uxux-Q8_0.gguf filter=lfs diff=lfs merge=lfs -text
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README.md
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| 1 |
+
---
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| 2 |
+
base_model: CortexCereal/uxux
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tags:
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| 4 |
+
- text-generation-inference
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| 5 |
+
- transformers
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| 6 |
+
- unsloth
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| 7 |
+
- llama
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| 8 |
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- trl
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| 9 |
+
- sft
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| 10 |
+
- TensorBlock
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| 11 |
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- GGUF
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| 12 |
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license: apache-2.0
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| 13 |
+
language:
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| 14 |
+
- en
|
| 15 |
+
---
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| 16 |
+
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| 17 |
+
<div style="width: auto; margin-left: auto; margin-right: auto">
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| 18 |
+
<img src="https://i.imgur.com/jC7kdl8.jpeg" alt="TensorBlock" style="width: 100%; min-width: 400px; display: block; margin: auto;">
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| 19 |
+
</div>
|
| 20 |
+
|
| 21 |
+
[](https://tensorblock.co)
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| 22 |
+
[](https://twitter.com/tensorblock_aoi)
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| 23 |
+
[](https://discord.gg/Ej5NmeHFf2)
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| 24 |
+
[](https://github.com/TensorBlock)
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| 25 |
+
[](https://t.me/TensorBlock)
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+
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+
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+
## CortexCereal/uxux - GGUF
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+
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<div style="text-align: left; margin: 20px 0;">
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<a href="https://discord.com/invite/Ej5NmeHFf2" style="display: inline-block; padding: 10px 20px; background-color: #5865F2; color: white; text-decoration: none; border-radius: 5px; font-weight: bold;">
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| 32 |
+
Join our Discord to learn more about what we're building ↗
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+
</a>
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| 34 |
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</div>
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| 35 |
+
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| 36 |
+
This repo contains GGUF format model files for [CortexCereal/uxux](https://huggingface.co/CortexCereal/uxux).
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| 37 |
+
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+
The files were quantized using machines provided by [TensorBlock](https://tensorblock.co/), and they are compatible with llama.cpp as of [commit b5753](https://github.com/ggml-org/llama.cpp/commit/73e53dc834c0a2336cd104473af6897197b96277).
|
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+
|
| 40 |
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## Our projects
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| 41 |
+
<table border="1" cellspacing="0" cellpadding="10">
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+
<tr>
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| 43 |
+
<th style="font-size: 25px;">Awesome MCP Servers</th>
|
| 44 |
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<th style="font-size: 25px;">TensorBlock Studio</th>
|
| 45 |
+
</tr>
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| 46 |
+
<tr>
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+
<th><img src="https://imgur.com/2Xov7B7.jpeg" alt="Project A" width="450"/></th>
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| 48 |
+
<th><img src="https://imgur.com/pJcmF5u.jpeg" alt="Project B" width="450"/></th>
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| 49 |
+
</tr>
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| 50 |
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<tr>
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| 51 |
+
<th>A comprehensive collection of Model Context Protocol (MCP) servers.</th>
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| 52 |
+
<th>A lightweight, open, and extensible multi-LLM interaction studio.</th>
|
| 53 |
+
</tr>
|
| 54 |
+
<tr>
|
| 55 |
+
<th>
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| 56 |
+
<a href="https://github.com/TensorBlock/awesome-mcp-servers" target="_blank" style="
|
| 57 |
+
display: inline-block;
|
| 58 |
+
padding: 8px 16px;
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| 59 |
+
background-color: #FF7F50;
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| 60 |
+
color: white;
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| 61 |
+
text-decoration: none;
|
| 62 |
+
border-radius: 6px;
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| 63 |
+
font-weight: bold;
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| 64 |
+
font-family: sans-serif;
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| 65 |
+
">👀 See what we built 👀</a>
|
| 66 |
+
</th>
|
| 67 |
+
<th>
|
| 68 |
+
<a href="https://github.com/TensorBlock/TensorBlock-Studio" target="_blank" style="
|
| 69 |
+
display: inline-block;
|
| 70 |
+
padding: 8px 16px;
|
| 71 |
+
background-color: #FF7F50;
|
| 72 |
+
color: white;
|
| 73 |
+
text-decoration: none;
|
| 74 |
+
border-radius: 6px;
|
| 75 |
+
font-weight: bold;
|
| 76 |
+
font-family: sans-serif;
|
| 77 |
+
">👀 See what we built 👀</a>
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| 78 |
+
</th>
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| 79 |
+
</tr>
|
| 80 |
+
</table>
|
| 81 |
+
|
| 82 |
+
## Prompt template
|
| 83 |
+
|
| 84 |
+
```
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| 85 |
+
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
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| 86 |
+
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| 87 |
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{system_prompt}
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| 88 |
+
<|eot_id|><|start_header_id|>user<|end_header_id|>
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| 89 |
+
|
| 90 |
+
{prompt}<|eot_id|><|start_header_id|>assistant<|end_header_id|>
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| 91 |
+
```
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| 92 |
+
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| 93 |
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## Model file specification
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| 94 |
+
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| 95 |
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| Filename | Quant type | File Size | Description |
|
| 96 |
+
| -------- | ---------- | --------- | ----------- |
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| 97 |
+
| [uxux-Q2_K.gguf](https://huggingface.co/tensorblock/CortexCereal_uxux-GGUF/blob/main/uxux-Q2_K.gguf) | Q2_K | 3.179 GB | smallest, significant quality loss - not recommended for most purposes |
|
| 98 |
+
| [uxux-Q3_K_S.gguf](https://huggingface.co/tensorblock/CortexCereal_uxux-GGUF/blob/main/uxux-Q3_K_S.gguf) | Q3_K_S | 3.665 GB | very small, high quality loss |
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| 99 |
+
| [uxux-Q3_K_M.gguf](https://huggingface.co/tensorblock/CortexCereal_uxux-GGUF/blob/main/uxux-Q3_K_M.gguf) | Q3_K_M | 4.019 GB | very small, high quality loss |
|
| 100 |
+
| [uxux-Q3_K_L.gguf](https://huggingface.co/tensorblock/CortexCereal_uxux-GGUF/blob/main/uxux-Q3_K_L.gguf) | Q3_K_L | 4.322 GB | small, substantial quality loss |
|
| 101 |
+
| [uxux-Q4_0.gguf](https://huggingface.co/tensorblock/CortexCereal_uxux-GGUF/blob/main/uxux-Q4_0.gguf) | Q4_0 | 4.661 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
|
| 102 |
+
| [uxux-Q4_K_S.gguf](https://huggingface.co/tensorblock/CortexCereal_uxux-GGUF/blob/main/uxux-Q4_K_S.gguf) | Q4_K_S | 4.693 GB | small, greater quality loss |
|
| 103 |
+
| [uxux-Q4_K_M.gguf](https://huggingface.co/tensorblock/CortexCereal_uxux-GGUF/blob/main/uxux-Q4_K_M.gguf) | Q4_K_M | 4.921 GB | medium, balanced quality - recommended |
|
| 104 |
+
| [uxux-Q5_0.gguf](https://huggingface.co/tensorblock/CortexCereal_uxux-GGUF/blob/main/uxux-Q5_0.gguf) | Q5_0 | 5.599 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
|
| 105 |
+
| [uxux-Q5_K_S.gguf](https://huggingface.co/tensorblock/CortexCereal_uxux-GGUF/blob/main/uxux-Q5_K_S.gguf) | Q5_K_S | 5.599 GB | large, low quality loss - recommended |
|
| 106 |
+
| [uxux-Q5_K_M.gguf](https://huggingface.co/tensorblock/CortexCereal_uxux-GGUF/blob/main/uxux-Q5_K_M.gguf) | Q5_K_M | 5.733 GB | large, very low quality loss - recommended |
|
| 107 |
+
| [uxux-Q6_K.gguf](https://huggingface.co/tensorblock/CortexCereal_uxux-GGUF/blob/main/uxux-Q6_K.gguf) | Q6_K | 6.596 GB | very large, extremely low quality loss |
|
| 108 |
+
| [uxux-Q8_0.gguf](https://huggingface.co/tensorblock/CortexCereal_uxux-GGUF/blob/main/uxux-Q8_0.gguf) | Q8_0 | 8.541 GB | very large, extremely low quality loss - not recommended |
|
| 109 |
+
|
| 110 |
+
|
| 111 |
+
## Downloading instruction
|
| 112 |
+
|
| 113 |
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### Command line
|
| 114 |
+
|
| 115 |
+
Firstly, install Huggingface Client
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| 116 |
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| 117 |
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```shell
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| 118 |
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pip install -U "huggingface_hub[cli]"
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| 119 |
+
```
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| 120 |
+
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| 121 |
+
Then, downoad the individual model file the a local directory
|
| 122 |
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|
| 123 |
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```shell
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| 124 |
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huggingface-cli download tensorblock/CortexCereal_uxux-GGUF --include "uxux-Q2_K.gguf" --local-dir MY_LOCAL_DIR
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| 125 |
+
```
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| 126 |
+
|
| 127 |
+
If you wanna download multiple model files with a pattern (e.g., `*Q4_K*gguf`), you can try:
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| 128 |
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|
| 129 |
+
```shell
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| 130 |
+
huggingface-cli download tensorblock/CortexCereal_uxux-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'
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| 131 |
+
```
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uxux-Q2_K.gguf
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version https://git-lfs.github.com/spec/v1
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oid sha256:0fca041c048122e78a2d2f65445fcc42e4528b9aaa0565f34ba5efbe5b9b4dc5
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size 3179135072
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uxux-Q3_K_L.gguf
ADDED
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version https://git-lfs.github.com/spec/v1
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oid sha256:20ddcd57ec1674cdca2296c0863f0097542cf039a240fdcd81784eba8deff25e
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size 4321960032
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uxux-Q3_K_M.gguf
ADDED
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