Text Classification
Safetensors
GGUF
English
custom
modernbert
browser-agent
decision-making
agentgo
full-fine-tuning
development-checkpoint
decision-model
feature-extraction
Instructions to use Mhmadhassnz/GoMini 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 Mhmadhassnz/GoMini 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 Mhmadhassnz/GoMini:Q8_0 # Run inference directly in the terminal: llama cli -hf Mhmadhassnz/GoMini:Q8_0
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf Mhmadhassnz/GoMini:Q8_0 # Run inference directly in the terminal: llama cli -hf Mhmadhassnz/GoMini:Q8_0
Build from source code
git clone https://github.com/ggml-org/llama.cpp.git cd llama.cpp cmake -B build cmake --build build -j --target llama-app # Start a local OpenAI-compatible server with a web UI: ./build/bin/llama serve -hf Mhmadhassnz/GoMini:Q8_0 # Run inference directly in the terminal: ./build/bin/llama cli -hf Mhmadhassnz/GoMini:Q8_0
Use Docker
docker model run hf.co/Mhmadhassnz/GoMini:Q8_0
- Llama new
- LM Studio
- Jan
- Ollama
How to use Mhmadhassnz/GoMini with Ollama:
ollama run hf.co/Mhmadhassnz/GoMini:Q8_0
- Unsloth Desktop
- Docker Model Runner
How to use Mhmadhassnz/GoMini with Docker Model Runner:
docker model run hf.co/Mhmadhassnz/GoMini:Q8_0
- Lemonade
How to use Mhmadhassnz/GoMini with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull Mhmadhassnz/GoMini:Q8_0
Run and chat with the model
lemonade run user.GoMini-Q8_0
List all available models
lemonade list
- Atomic Chat
File size: 525 Bytes
37b50ad | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 | {
"bos_token": "<bos>",
"clean_up_tokenization_spaces": false,
"cls_token": "<bos>",
"eos_token": "<eos>",
"extra_special_tokens": {
"extra_0": "<start_of_turn>",
"extra_1": "<end_of_turn>"
},
"mask_token": "<mask>",
"model_input_names": [
"input_ids",
"attention_mask"
],
"model_max_length": 8192,
"pad_token": "<pad>",
"padding_side": "right",
"sep_token": "<eos>",
"spaces_between_special_tokens": false,
"tokenizer_class": "PreTrainedTokenizerFast",
"unk_token": "<unk>"
}
|