Text Generation
GGUF
English
mark
llama.cpp
deepseek2
mixture-of-experts
multi-head-latent-attention
iq4_nl
mark-ai
systems-engineering
conversational
Instructions to use miceworks/Mark-Engineer-302M 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 miceworks/Mark-Engineer-302M 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 miceworks/Mark-Engineer-302M:IQ4_NL # Run inference directly in the terminal: llama cli -hf miceworks/Mark-Engineer-302M:IQ4_NL
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf miceworks/Mark-Engineer-302M:IQ4_NL # Run inference directly in the terminal: llama cli -hf miceworks/Mark-Engineer-302M:IQ4_NL
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 miceworks/Mark-Engineer-302M:IQ4_NL # Run inference directly in the terminal: ./build/bin/llama cli -hf miceworks/Mark-Engineer-302M:IQ4_NL
Use Docker
docker model run hf.co/miceworks/Mark-Engineer-302M:IQ4_NL
- Llama new
- LM Studio
- Jan
- vLLM
How to use miceworks/Mark-Engineer-302M with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "miceworks/Mark-Engineer-302M" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "miceworks/Mark-Engineer-302M", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/miceworks/Mark-Engineer-302M:IQ4_NL
- Ollama
How to use miceworks/Mark-Engineer-302M with Ollama:
ollama run hf.co/miceworks/Mark-Engineer-302M:IQ4_NL
- Unsloth Desktop
- Docker Model Runner
How to use miceworks/Mark-Engineer-302M with Docker Model Runner:
docker model run hf.co/miceworks/Mark-Engineer-302M:IQ4_NL
- Lemonade
How to use miceworks/Mark-Engineer-302M with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull miceworks/Mark-Engineer-302M:IQ4_NL
Run and chat with the model
lemonade run user.Mark-Engineer-302M-IQ4_NL
List all available models
lemonade list
- Atomic Chat
Commit History
7 days ago
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docs: sync test-verified README.md
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fix(audit): update Modelfile with verified forensic metadata
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fix(audit): update README.md with verified forensic metadata
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Audit fix: update tokenizer_config.json with verified benchmarks, PB-MoE clans, and GGUF metadata
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Audit fix: update README.md with verified benchmarks, PB-MoE clans, and GGUF metadata
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Audit fix: update gguf_verification_manifest.json with verified benchmarks, PB-MoE clans, and GGUF metadata
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Audit fix: update README.md with verified benchmarks, PB-MoE clans, and GGUF metadata
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14 days ago
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Synchronize README.md with GGUF binary single source of truth
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Synchronize Modelfile with GGUF binary single source of truth
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Synchronize tokenizer.json with GGUF binary single source of truth
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Synchronize tokenizer_config.json with GGUF binary single source of truth
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Synchronize config.json with GGUF binary single source of truth
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Synchronize README.md with GGUF binary single source of truth
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Update tokenizer_config.json with verified GGUF metadata
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Update tokenizer.json with verified GGUF metadata
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Update Modelfile with verified GGUF metadata
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Update README.md with verified GGUF metadata
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Update Mark-Engineer-302M native deepseek2 IQ4_NL GGUF container
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18 days ago
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fix: add config.json specifying exact parameter count
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19 days ago
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docs: update model card with sober technical analysis and realistic benchmarks
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docs: update license to GNU Affero GPL v3.0 (AGPL-3.0) and add full benchmark suite
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feat: upload MODELFILE weights (Modelfile)
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feat: upload PT weights (mark_engineer_302m_iq4_nl.pt)
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feat: upload GGUF weights (mark_engineer_302m_iq4_nl.gguf)
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docs: publish official Mark AI model card and benchmarks
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20 days ago
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initial commit
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