Instructions to use Akicou/Qwen3-30B-A3B-Instruct-2507-REAM-GGUF 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 Akicou/Qwen3-30B-A3B-Instruct-2507-REAM-GGUF 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 Akicou/Qwen3-30B-A3B-Instruct-2507-REAM-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf Akicou/Qwen3-30B-A3B-Instruct-2507-REAM-GGUF:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf Akicou/Qwen3-30B-A3B-Instruct-2507-REAM-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf Akicou/Qwen3-30B-A3B-Instruct-2507-REAM-GGUF:Q4_K_M
Use pre-built binary
# Download pre-built binary from: # https://github.com/ggerganov/llama.cpp/releases # Start a local OpenAI-compatible server with a web UI: ./llama-server -hf Akicou/Qwen3-30B-A3B-Instruct-2507-REAM-GGUF:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf Akicou/Qwen3-30B-A3B-Instruct-2507-REAM-GGUF:Q4_K_M
Build from source code
git clone https://github.com/ggerganov/llama.cpp.git cd llama.cpp cmake -B build cmake --build build -j --target llama-server llama-cli # Start a local OpenAI-compatible server with a web UI: ./build/bin/llama-server -hf Akicou/Qwen3-30B-A3B-Instruct-2507-REAM-GGUF:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf Akicou/Qwen3-30B-A3B-Instruct-2507-REAM-GGUF:Q4_K_M
Use Docker
docker model run hf.co/Akicou/Qwen3-30B-A3B-Instruct-2507-REAM-GGUF:Q4_K_M
- LM Studio
- Jan
- Ollama
How to use Akicou/Qwen3-30B-A3B-Instruct-2507-REAM-GGUF with Ollama:
ollama run hf.co/Akicou/Qwen3-30B-A3B-Instruct-2507-REAM-GGUF:Q4_K_M
- Unsloth Desktop
- Docker Model Runner
How to use Akicou/Qwen3-30B-A3B-Instruct-2507-REAM-GGUF with Docker Model Runner:
docker model run hf.co/Akicou/Qwen3-30B-A3B-Instruct-2507-REAM-GGUF:Q4_K_M
- Lemonade
How to use Akicou/Qwen3-30B-A3B-Instruct-2507-REAM-GGUF with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull Akicou/Qwen3-30B-A3B-Instruct-2507-REAM-GGUF:Q4_K_M
Run and chat with the model
lemonade run user.Qwen3-30B-A3B-Instruct-2507-REAM-GGUF-Q4_K_M
List all available models
lemonade list
- Atomic Chat
Qwen3-30B-A3B-Instruct-2507-REAM-GGUF
This model was converted to GGUF format from SamsungSAILMontreal/Qwen3-30B-A3B-Instruct-2507-REAM using GGUF Forge.
Quants
The following quants are available: Q3_K_S, Q2_K, Q3_K_M, Q3_K_L, Q4_K_S, Q4_0, Q5_0, Q4_K_M, Q5_K_S, Q5_K_M, Q8_0, Q6_K
Ollama Support
Full Ollama support is provided by merging any sharded GGUF output into a single file after quantization.
Conversion Stats
| Metric | Value |
|---|---|
| Job ID | b930f007-50fb-4239-af0c-c828f7b46dc8 |
| GGUF Forge Version | v6.2 |
| Total Time | 1.4h |
| Avg Time per Quant | 7.9min |
Step Breakdown
- Download: 6.7min
- FP16 Conversion: 5.0min
- Quantization: 1.2h
π Convert Your Own Models
Want to convert more models to GGUF?
π gguforge.com β Free hosted GGUF conversion service. Login with HuggingFace and request conversions instantly!
Links
- π Free Hosted Service: gguforge.com
- π οΈ Self-host GGUF Forge: GitHub
- π¦ llama.cpp (quantization engine): GitHub
- π¬ Community & Support: Discord
Converted automatically by GGUF Forge v6.2
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Model tree for Akicou/Qwen3-30B-A3B-Instruct-2507-REAM-GGUF
Base model
Qwen/Qwen3-30B-A3B-Instruct-2507
ollama run hf.co/Akicou/Qwen3-30B-A3B-Instruct-2507-REAM-GGUF: