Instructions to use MSakar/mymodel 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 MSakar/mymodel 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 MSakar/mymodel:Q4_K_M # Run inference directly in the terminal: llama cli -hf MSakar/mymodel:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf MSakar/mymodel:Q4_K_M # Run inference directly in the terminal: llama cli -hf MSakar/mymodel:Q4_K_M
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 MSakar/mymodel:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama cli -hf MSakar/mymodel:Q4_K_M
Use Docker
docker model run hf.co/MSakar/mymodel:Q4_K_M
- Llama new
- LM Studio
- Jan
- Ollama
How to use MSakar/mymodel with Ollama:
ollama run hf.co/MSakar/mymodel:Q4_K_M
- Unsloth Desktop
- Docker Model Runner
How to use MSakar/mymodel with Docker Model Runner:
docker model run hf.co/MSakar/mymodel:Q4_K_M
- Lemonade
How to use MSakar/mymodel with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull MSakar/mymodel:Q4_K_M
Run and chat with the model
lemonade run user.mymodel-Q4_K_M
List all available models
lemonade list
- Atomic Chat
Upload model trained with Unsloth
Browse filesUpload model trained with Unsloth 2x faster
- adapter_config.json +7 -7
- adapter_model.safetensors +2 -2
adapter_config.json
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{
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"alpha_pattern": {},
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"base_model_name_or_path": "unsloth/
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"bias": "none",
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"inference_mode": true,
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"megatron_core": "megatron.core",
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"modules_to_save": null,
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"peft_type": "LORA",
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"r":
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"task_type": "CAUSAL_LM",
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"use_dora": false,
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{
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"alpha_pattern": {},
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"base_model_name_or_path": "unsloth/llama-3-8b-bnb-4bit",
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"bias": "none",
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"fan_in_fan_out": false,
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"inference_mode": true,
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"megatron_core": "megatron.core",
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"modules_to_save": null,
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"peft_type": "LORA",
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"r": 16,
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"up_proj",
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"o_proj"
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],
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"task_type": "CAUSAL_LM",
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"use_dora": false,
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adapter_model.safetensors
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size 167832240
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