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
Download tokenizer_config.json from miceworks/Mark-Engineer-V2-8B: direct link, hf CLI and curl.
- Browser
- Download file 1.02 kB
-
https://huggingface.co/miceworks/Mark-Engineer-V2-8B/resolve/main/tokenizer_config.json
- Command line
-
hf download hf://miceworks/Mark-Engineer-V2-8B/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/miceworks/Mark-Engineer-V2-8B/resolve/main/tokenizer_config.json
1.02 kB
| { | |
| "vocab_size": 4311, | |
| "bos_token_id": 1, | |
| "eos_token_id": 2, | |
| "special_tokens": { | |
| "<|pad|>": 0, | |
| "<|bos|>": 1, | |
| "<|eos|>": 2, | |
| "<think>": 3, | |
| "</think>": 4, | |
| "[RETRIEVE]": 5, | |
| "[/RETRIEVE]": 6, | |
| "[EVALUATE]": 7, | |
| "[ACCEPT]": 8, | |
| "[REJECT]": 9, | |
| "<|vision_start|>": 10, | |
| "<|vision_patch|>": 11, | |
| "<|vision_end|>": 12, | |
| "<|voice_stream|>": 13, | |
| "[UNKNOWN]": 14, | |
| "[WEB_SEARCH]": 15, | |
| "[/WEB_SEARCH]": 16, | |
| "<|rag_context|>": 17, | |
| "<|/rag_context|>": 18, | |
| "<|mcp_call|>": 19, | |
| "<|mcp_response|>": 20, | |
| "<|citation|>": 21, | |
| "<|/citation|>": 22 | |
| }, | |
| "supported_languages": [ | |
| "Rust", | |
| "Python", | |
| "Ruby", | |
| "JavaScript", | |
| "TypeScript", | |
| "CSS", | |
| "PHP", | |
| "Kotlin", | |
| "Java", | |
| "Go", | |
| "C++", | |
| "C", | |
| "C#", | |
| "Assembly (x86_64/ARM64)", | |
| "SQL", | |
| "Shell" | |
| ], | |
| "natural_languages": [ | |
| "pt", | |
| "en", | |
| "es", | |
| "fr", | |
| "de", | |
| "it", | |
| "ru", | |
| "ja", | |
| "ko", | |
| "ar", | |
| "hi", | |
| "zh-Hans" | |
| ] | |
| } |