Text Generation
GGUF
Rust
English
Portuguese
mark_engineer_v2_8b
mark-ai
systems-engineering
linux-kernel
cpp
c
reverse-engineering
robotics
electrical-engineering
mla
Mixture of Experts
mtp
ollama
custom_code
conversational
Instructions to use miceworks/Mark-Engineer-V2-8B 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-V2-8B 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-V2-8B:IQ4_NL # Run inference directly in the terminal: llama cli -hf miceworks/Mark-Engineer-V2-8B: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-V2-8B:IQ4_NL # Run inference directly in the terminal: llama cli -hf miceworks/Mark-Engineer-V2-8B: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-V2-8B:IQ4_NL # Run inference directly in the terminal: ./build/bin/llama cli -hf miceworks/Mark-Engineer-V2-8B:IQ4_NL
Use Docker
docker model run hf.co/miceworks/Mark-Engineer-V2-8B:IQ4_NL
- Llama new
- LM Studio
- Jan
- vLLM
How to use miceworks/Mark-Engineer-V2-8B with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "miceworks/Mark-Engineer-V2-8B" # 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-V2-8B", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/miceworks/Mark-Engineer-V2-8B:IQ4_NL
- Ollama
How to use miceworks/Mark-Engineer-V2-8B with Ollama:
ollama run hf.co/miceworks/Mark-Engineer-V2-8B:IQ4_NL
- Unsloth Desktop
- Docker Model Runner
How to use miceworks/Mark-Engineer-V2-8B with Docker Model Runner:
docker model run hf.co/miceworks/Mark-Engineer-V2-8B:IQ4_NL
- Lemonade
How to use miceworks/Mark-Engineer-V2-8B with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull miceworks/Mark-Engineer-V2-8B:IQ4_NL
Run and chat with the model
lemonade run user.Mark-Engineer-V2-8B-IQ4_NL
List all available models
lemonade list
- Atomic Chat
File size: 784 Bytes
6a7b3ea | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 | FROM ./mark_engineer_v2_8b_iq4_nl.gguf
TEMPLATE """<|im_start|>system
{{ .System }}<|im_end|>
<|im_start|>user
{{ .Prompt }}<|im_end|>
<|im_start|>assistant
<think>
"""
PARAMETER stop "<|im_end|>"
PARAMETER stop "<|endoftext|>"
PARAMETER temperature 0.2
PARAMETER top_p 0.95
PARAMETER repeat_penalty 1.1
SYSTEM """Voce e o Mark Engineer V2 8B, um modelo de sistemas e engenharia de software de altissima capacidade arquitetado com Multi-Head Latent Attention (MLA), 24+1 Mixture of Experts (MoE) e Multi-Token Prediction (MTP). Especializado em kernels de sistemas operacionais (Linux, Windows, macOS), engenharia reversa, compiladores, seguranca defensiva (AppSec P0/Red Team), sistemas distribuidos, concorrencia baixo nivel (Rust, C, C++, Go) e engenharia eletrica/mecanica."""
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