Instructions to use EntityDeletr/North-Mini-Code-1.0-EAGLE3-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use EntityDeletr/North-Mini-Code-1.0-EAGLE3-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 EntityDeletr/North-Mini-Code-1.0-EAGLE3-GGUF # Run inference directly in the terminal: llama cli -hf EntityDeletr/North-Mini-Code-1.0-EAGLE3-GGUF
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf EntityDeletr/North-Mini-Code-1.0-EAGLE3-GGUF # Run inference directly in the terminal: llama cli -hf EntityDeletr/North-Mini-Code-1.0-EAGLE3-GGUF
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 EntityDeletr/North-Mini-Code-1.0-EAGLE3-GGUF # Run inference directly in the terminal: ./llama-cli -hf EntityDeletr/North-Mini-Code-1.0-EAGLE3-GGUF
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 EntityDeletr/North-Mini-Code-1.0-EAGLE3-GGUF # Run inference directly in the terminal: ./build/bin/llama-cli -hf EntityDeletr/North-Mini-Code-1.0-EAGLE3-GGUF
Use Docker
docker model run hf.co/EntityDeletr/North-Mini-Code-1.0-EAGLE3-GGUF
- LM Studio
- Jan
- Ollama
How to use EntityDeletr/North-Mini-Code-1.0-EAGLE3-GGUF with Ollama:
ollama run hf.co/EntityDeletr/North-Mini-Code-1.0-EAGLE3-GGUF
- Unsloth Studio
How to use EntityDeletr/North-Mini-Code-1.0-EAGLE3-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 EntityDeletr/North-Mini-Code-1.0-EAGLE3-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 EntityDeletr/North-Mini-Code-1.0-EAGLE3-GGUF to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for EntityDeletr/North-Mini-Code-1.0-EAGLE3-GGUF to start chatting
- Atomic Chat new
- Docker Model Runner
How to use EntityDeletr/North-Mini-Code-1.0-EAGLE3-GGUF with Docker Model Runner:
docker model run hf.co/EntityDeletr/North-Mini-Code-1.0-EAGLE3-GGUF
- Lemonade
How to use EntityDeletr/North-Mini-Code-1.0-EAGLE3-GGUF with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull EntityDeletr/North-Mini-Code-1.0-EAGLE3-GGUF
Run and chat with the model
lemonade run user.North-Mini-Code-1.0-EAGLE3-GGUF-{{QUANT_TAG}}List all available models
lemonade list
Not Working At All
I first used the 4-bit quantization of North-Mini-Code-1.0 from Unsloth, along with North-Mini-Code-1.0-EAGLE3.gguf (Q5_K_M), and the model loading process seemed just fine.
After the first prompt was inputted, the following error message was displayed:
...
[60953] /home/runner/work/llama.cpp/llama.cpp/src/llama-graph.cpp:1247: GGML_ASSERT(t_layer_inp[il] != nullptr && "layer input tensor is null") failed
[60953] [New LWP 665349]
...
[60953] warning: 30 ../sysdeps/unix/sysv/linux/wait4.c: No such file or directory
...
[60953] warning: 58 ../sysdeps/nptl/libc_start_call_main.h: No such file or directory
[60953] #15 0x0000725f7662a28b in __libc_start_main_impl (main=0x62e3e191e260 >, argc=40, argv=0x7fffa526cb58, init=, fini=, rtld_fini=, stack_end=0x7fffa526cb48) at ../csu/libc-start.c:360
[60953] warning: 360 ../csu/libc-start.c: No such file or directory
[60953] #16 0x000062e3e191e295 in _start ()
[60953] [Inferior 1 (process 665264) detached]
0.30.218.401 E srv operator(): http client error: Failed to read connection
0.30.225.337 E srv operator(): http client error: Could not establish connection
...
Then I tried a different one from Bartowski, and still no luck. If no draft model was in use, no error occurred.
Below is my local setup:
- llama.cpp version: b10182
- OS version: Kubuntu 24.04.4 LTS (Linux 7.0.0-28-generic)
- Sampling parameters:
[North-Mini-Code-1.0-30B-A3B-Instruct-UD-Q4_K_XL]
model = /home/XXX/Models/North-Mini-Code-1.0-Q4_K_M.gguf
chat-template-kwargs = {"reasoning_effort": "low"}
model-draft = /home/XXX/Models/North-Mini-Code-1.0-EAGLE3.gguf
spec-default = true
spec-type = draft-eagle3
spec-draft-n-max = 2
temp = 1.0
top-p = 0.95
n-predict = 64000
ctx-size = 256000
Did I do it wrongly? Please advise and thank you in advance!
By no means am I an expert on this, and currently, I am unable to test due to some other issue I have, but if bartwoski's doesn't work either, I have little to offer you. I would recommend you rais an issue and/or ask on other public forums (like Reddit) as well and see if anyone has a solution.